WO2023179490A1 - 应用推荐方法和电子设备 - Google Patents

应用推荐方法和电子设备 Download PDF

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Publication number
WO2023179490A1
WO2023179490A1 PCT/CN2023/082201 CN2023082201W WO2023179490A1 WO 2023179490 A1 WO2023179490 A1 WO 2023179490A1 CN 2023082201 W CN2023082201 W CN 2023082201W WO 2023179490 A1 WO2023179490 A1 WO 2023179490A1
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WIPO (PCT)
Prior art keywords
application
image
text
interface
electronic device
Prior art date
Application number
PCT/CN2023/082201
Other languages
English (en)
French (fr)
Inventor
高艳洁
李泽
Original Assignee
华为技术有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 华为技术有限公司 filed Critical 华为技术有限公司
Publication of WO2023179490A1 publication Critical patent/WO2023179490A1/zh

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9538—Presentation of query results
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques

Definitions

  • the present application relates to the field of electronic technology, and in particular, to an application recommendation method and electronic equipment.
  • This application provides an application recommendation method and electronic device to solve the problem that related technologies cannot intuitively reflect the characteristics of recommended applications and require users to spend a lot of time to find applications that they are interested in and their desire to explore applications that they are interested in.
  • application recommendation is realized by combining pictures and texts/images, which improves the user experience of application recommendation.
  • this application provides an application recommendation method, which is applied to electronic devices.
  • the method includes:
  • the description information of the first application and the application recommendation list are displayed in the first interface.
  • the description information of the first application includes images and texts related to the first application.
  • the application recommendation list of the first application includes second applications related to the first application. ;
  • a first image is displayed on the first interface, where the first image is a second application-related image in the description information of the second application, and the description information of the second application includes the second application-related image. and text, the first image is determined based on the description information of the second application and the description information of the first application.
  • the electronic device recommends a second application related to the first application
  • the difference between the second application and the first application can be displayed through images, so as to facilitate the user to accurately Differentiation and quick selection improve the user experience of application recommendation and increase the conversion rate of application recommendation. It also eliminates the need for manual configuration to obtain image display materials and avoids the additional cost of application recommendation.
  • the second application related to the first application can be accurately recommended, which improves the relevance of application recommendation and reduces the probability of recommending applications unrelated to the first application, which is helpful to attract users to view or download the second application and increase It increases the click-through rate and download volume of the recommended second application, bringing a better recommendation experience to users.
  • the first image is determined based on the description information of the second application and the description information of the first application, including: the first image is a difference between an image related to the second application and an image related to the first application. maximize the image.
  • the approach includes:
  • a first text is also displayed on the first interface, and the first text is used to represent the characteristics of the second application.
  • the electronic device recommends a second application related to the first application, it not only displays the difference between the second application and the first application through the combination of pictures and texts, but also facilitates the user to accurately distinguish and quickly select. It is also helpful to highlight the characteristics and advantages of the second application, allowing users to quickly fully understand the second application, increasing users' interest in downloading the second application, and without the need for manual configuration to obtain display materials that combine graphics and text, avoiding the need for application Recommended additional costs.
  • the first text is placed within the first image.
  • the coverage position, font color and font size of the first text are determined based on the first image.
  • the first text includes at least one of the following texts:
  • Text provided by the developer of the second application text related to the second application, or text in an image related to the second application.
  • This provides multiple sources for the first text and enriches the specific realization of the first text.
  • the method also includes:
  • a second image is displayed on the second interface, where the second image is an image related to the second application in the description information of the second application, and the second image is an image based on the description information of the second application and the second application. Determined by the description information of the third application, the second image is different from the first image.
  • the same application can be recommended in the application recommendation lists of different applications, and different images of the application can also be displayed on the detail pages of different applications.
  • the third application and the first application are of different types.
  • the approach includes:
  • a trigger control is also displayed on the first interface, and the trigger control is used to trigger installation or update.
  • the second application is installed or updated in the electronic device.
  • the trigger control for installing or updating the second application can also be provided to the user, so as to facilitate the user to quickly install or update the second application in the electronic device.
  • the trigger control is also used to trigger display of the details page of the second application.
  • the trigger control is placed in the first image.
  • the trigger control can be adaptively embedded in the first image, thereby improving the display effect of the first image.
  • displaying the first image on the first interface includes:
  • the first image is displayed in a partial area of the first interface.
  • the electronic device can obtain the first image from the server through interaction with the server. Therefore, while recommending the second application, the electronic device can display the first image that is most differentiated between the second application and the first application.
  • the method also includes:
  • the description information of the second application and the application recommendation list are displayed in the third interface.
  • This provides a new way to display the details page of the second application.
  • the method also includes:
  • the description information of the second application and the application recommendation list are displayed in the fifth interface.
  • the first interface is a user interface of an application market
  • the first application or the second application is an application program provided in the application market.
  • this application provides an electronic device, including: a memory and a processor; the memory is used to store program instructions; the processor is used to call the program instructions in the memory so that the electronic device executes the first aspect and any possibility of the first aspect.
  • this application provides a chip system, which is applied to an electronic device including a memory, a display screen, and a sensor; the chip system includes: a processor; when the processor executes the computer instructions stored in the memory, the electronic device executes the first Recommended methods for application in any possible design of the first aspect and the first aspect.
  • the present application provides a computer-readable storage medium on which a computer program is stored.
  • the computer program is executed by a processor so that the electronic device implements the first aspect and the application recommendations in any possible design of the first aspect. method.
  • the present application provides a computer program product, including: execution instructions.
  • the execution instructions are stored in a readable storage medium.
  • At least one processor of the electronic device can read the execution instructions from the readable storage medium.
  • Executing the execution instructions enables the electronic device to implement the recommended application method in the first aspect and any possible design of the first aspect.
  • Figure 1 is a schematic diagram of a human-computer interaction interface provided by an embodiment of the present application.
  • FIGS. 2A-2E are schematic diagrams of the human-computer interaction interface provided by an embodiment of the present application.
  • Figure 3A is a schematic structural diagram of a communication system provided by an embodiment of the present application.
  • Figure 3B is a software structure block diagram of an electronic device and server provided by an embodiment of the present application.
  • Figure 4 is a signaling interaction diagram for extracting application features provided by an embodiment of the present application.
  • Figure 5 is a schematic flowchart of optimizing text feature vectors provided by an embodiment of the present application.
  • Figure 6 is a schematic diagram of a difference detection module provided by an embodiment of the present application to determine the differentiated image DF applied;
  • Figures 7A-7C are schematic diagrams of differentiated information of an application provided by an embodiment of the present application.
  • Figure 8 is a signaling interaction diagram of an application recommendation method provided by an embodiment of the present application.
  • FIGS 9A-9K are schematic diagrams of the human-computer interaction interface provided by an embodiment of the present application.
  • Figure 10 is a schematic flowchart of an application recommendation method provided by an embodiment of the present application.
  • Figure 11 is a schematic flow chart of an application recommendation method provided by an embodiment of the present application.
  • Figure 12 is a schematic flow chart of an application recommendation method provided by an embodiment of the present application.
  • Figure 13 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.
  • Figure 14 is a software structure block diagram of an electronic device provided by an embodiment of the present application.
  • At least one refers to one or more, and “plurality” refers to two or more.
  • “And/or” describes the association of associated objects, indicating that there can be three relationships, for example, A and/or B, which can mean: A exists alone, A and B exist simultaneously, and B exists alone, where A, B can be singular or plural.
  • the character “/” generally indicates that the related objects are in an “or” relationship.
  • “At least one of the following” or similar expressions thereof refers to any combination of these items, including any combination of a single item (items) or a plurality of items (items).
  • At least one of a alone, b alone, or c alone can mean: a alone, b alone, c alone, a combination of a and b, a combination of a and c, a combination of b and c, or a combination of a, b and c, where a, b, c can be single or multiple.
  • first and second are used for descriptive purposes only and are not to be understood as indicating or implying relative importance.
  • the terms “center”, “longitudinal”, “horizontal”, “upper”, “lower”, “left”, “right”, “front”, “back”, etc. indicate the orientation or positional relationship based on that shown in the drawings.
  • orientation or positional relationship is only for the convenience of describing the present application and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present application.
  • This application provides an application recommendation method and electronic device, which can display the difference between the recommended application and the application through a combination of graphics and text/images when recommending multiple applications related to one application. , which helps highlight the characteristics and advantages of recommended applications, facilitates users to accurately distinguish and quickly select, improves the user experience of application recommendations, increases the conversion rate of application recommendations, and eliminates the need for manual configuration to obtain graphic and text combinations/images display materials to avoid the additional cost of application recommendation.
  • it can also accurately recommend multiple applications related to one application, which improves the relevance of application recommendations, reduces the probability of recommending multiple applications that are not related to one application, and helps attract users to search. Viewing or downloading recommended applications increases the click-through rate and download volume of recommended applications, giving users a better recommendation experience.
  • the application recommendation method provided by this application can be applied to various scenarios of recommending applications to users.
  • this application uses an electronic device to display the details page of any application (which can be called Application 1) in the application market, and can recommend at least one application related to Application 1 to the user (for the convenience of explanation, it is called Application 2 Give an example), and also give an example of a scenario in which differentiated information between Application 2 and Application 1 is displayed to the user.
  • this application does not limit the specific implementation methods of Application 1, the details page of Application 1, Application 2, and the differentiated information between Application 2 and Application 1. It should be noted that this application does not limit whether the electronic device has installed Application 1 or Application 2.
  • the details page of Application 1 may include: description information of Application 1.
  • the description information of Application 1 may include but is not limited to: Application 1's name, icon, function introduction, version number, developer, development time, feature description, various instructions, functional interface, download volume, evaluation information, etc. It can be displayed as text and/or images.
  • the description information of Application 1 may come from: text information of Application 1 and image information of Application 1 provided by the developer of Application 1, as well as log information of user behavior data.
  • the text information of Application 1 is used to briefly describe the text characteristics of Application 1, such as the title text, name, description text, function description, etc. of Application 1.
  • the image information of Application 1 is used to describe the interface characteristics of Application 1, such as the image of Application 1 (such as a picture or video animation).
  • description information of Application 1 may also include: description information related to Application 1 mined from Internet corpus. Among them, this application does not limit the specific implementation method of Internet corpus.
  • the log information of user behavior data is used to describe the download behavior of Application 1 when obtaining requests from different users to view the details page of Application 1.
  • the log information of user behavior data may include: the download volume of Application 1.
  • log information of user behavior data is also used to describe the user's evaluation behavior of application 1.
  • the log information of user behavior data may include: the download volume of Application 1 and the evaluation information, rating size and number of ratings of Application 1.
  • the details page of Application 1 may also include: an application recommendation list of Application 1.
  • each application in the application recommendation list of application 1 is related to application 1, such as the same type, similar functions or business related. This application does not limit the specific implementation methods of the applications in the application recommendation list of Application 1.
  • the application recommendation list of application 1 may include: application 2.
  • description information such as an icon, name, and image (such as a picture or video animation) of Application 2 is displayed in the application recommendation list of Application 1.
  • Application 2 and Application 1 may be different versions of applications, that is, Application 2 and Application 1 are of the same type.
  • Application 2 and Application 1 are both chat-type applications, that is, Application 2 and Application 1 have similar functions.
  • Application 2 may be an application that Application 1 needs to call when performing a certain function/service, that is, Application 2 is related to Application 1's services.
  • the differentiation information between Application 2 and Application 1 is used to indicate the difference between Application 1 and Application 2 (i.e. Different), which can highlight the characteristics and advantages of application 2, and its differentiated information can be expressed in ways such as images, or text and images.
  • the differentiation information between Application 2 and Application 1 may include: a differentiated image DF of Application 2 and a differentiated text DT of Application 2.
  • the differentiation information between Application 2 and Application 1 may include: the differentiation image DF of Application 2.
  • the differentiated image DF of application 2 comes from the image information of application 2 provided by the developer of application 2.
  • the differentiated image DF of Application 2 may be based on the description information of Application 1 and the description information of Application 2, and the image with the greatest difference between Application 2 and Application 1 is selected from the image information of Application 2.
  • the differentiated text DT of Application 2 is used to describe the features and advantages of Application 2.
  • the differentiated text DT of Application 2 may be a text provided by the developer of Application 2, or may be a text determined by the server based on the description information of Application 1 and the description information of Application 2.
  • the text information of Application 2 mentioned above please refer to the description of the text information of Application 1 mentioned above, and will not be described in detail here.
  • Figure 1 is a schematic diagram of a human-computer interaction interface provided by an embodiment of the present application.
  • application 2 is the XX health sports application as an example.
  • the developer of Application 2 can transmit the name of Application 2, the icon of Application 2, the text of Application 2 T31, the detailed introduction of Application 2 T30, the update introduction of Application 2, and the application to the application market through this interface.
  • the above-mentioned electronic device can recommend Application 2 to the user when displaying the details page of Application 1 in the application market, and can also display the relationship between Application 2 and Application 1 for the user.
  • the specific implementation process of differentiated information scenarios can be used.
  • Figures 2A-2E are schematic diagrams of a human-computer interaction interface provided by an embodiment of the present application.
  • the electronic device is a mobile phone and an application market is installed in the mobile phone as an example.
  • the mobile phone can display the user interface 11 as exemplarily shown in FIG. 2A , where the user interface 11 is an interface of the application market, and the user interface 11 is used to display the details page of application 1.
  • the user interface 11 may include: area 101 , area 102 , area 103 and area 104 .
  • area 101, area 102 and area 103 are used to display the description information of application 1.
  • Area 104 is used to display the application recommendation list of application 1.
  • this application does not limit the display parameters such as position, size, shape, layout, color, etc. of the area 101, the area 102, the area 103, and the area 104.
  • the user interface 11 can also be used to provide other functions or services of application 1, such as installing or updating application 1, sharing application 1, viewing comment information of application 1, etc. Entrance.
  • the user interface 11 can be used to provide an entrance for installing application 1.
  • the user interface 11 can be used to provide an entrance to update application 1.
  • the user interface 11 may be used to provide an entry for launching application 1.
  • Area 101 is used to display description information such as icon, name, application description, etc. of Application 1.
  • Area 102 is used to display description information such as functional interface, evaluation information, recommendation instructions, etc. of Application 1.
  • the area 102 may include: image F11, image F12, and image F13 of application 1. Any of the aforementioned images can be pictures or videos.
  • any image may not include text, such as the image F12 of Application 1, or may include text, such as the title text T11 in the image F11 of Application 1 and the title text T13 in the image F13 of Application 1.
  • This application does not limit the parameters such as position, font size, color, etc. of any of the aforementioned title text in the corresponding image.
  • Area 103 is used to display description information of Application 1 such as function introduction, version number, developer, development time, other descriptions, download volume, etc.
  • Area 104 is used to display the application recommendation list of Application 1.
  • Application 2 provides an entrance to install or update Application 2, provides an entrance to start Application 2, and provides an entrance to display the details page of Application 2 and the differentiated information of Application 2.
  • area 104 may include: area 1041 and control 1042. This application does not limit the display parameters of area 1041 and control 1042 such as position, size, shape, layout, color, etc.
  • Area 1041 is used to display descriptive information such as icons and names of Application 2, and to provide an entrance to display the details page and differentiated information of Application 2.
  • Control 1042 is used to provide an entrance to install or update application 2 in the mobile phone.
  • control 1042 can be used to provide an entrance to install application 2.
  • control 1042 can be used to provide an entrance to update application 2.
  • control 1042 may be used to provide an entry for launching Application 2.
  • the mobile phone may display all or part of the image of Application 1 in the user interface 11 shown in FIG. 2A.
  • the mobile phone may display a partial image of Application 1 in the area 102 shown in FIG. 2A , such as an image F11 , an image F12 and a partial image F13 of Application 1 .
  • the mobile phone may display the remaining images of Application 1 in area 102, such as image F13 of Application 1.
  • the mobile phone After detecting that the user instructs the operation 21 of viewing the differentiated information of Application 2 in the area 1041 shown in Figure 2A (such as performing a long press operation on the area 1041), the mobile phone can display Figures 2B to 2E in the user interface 11 Any one of the figures illustratively shows a window 12, where the window 12 is used to display differentiated information between Application 2 and Application 1.
  • the window 12 may include: the differentiated image DF of Application 2 and the differentiated text DT of Application 2.
  • the window 12 may include: the differentiated image DF of application 2.
  • the differentiated image DF of application 2 can be filled in the entire area of the window 12, and the differentiated text DT of application 2 can be displayed in the area 201 of the window 12, so that the differentiated text DT of application 2 is placed in the area 201 of the window 12.
  • Differentiated image DF can be filled in the entire area of the window 12, and the differentiated text DT of application 2 can be displayed in the area 201 of the window 12, so that the differentiated text DT of application 2 is placed in the area 201 of the window 12.
  • the differentiated image DF of application 2 can be filled in a partial area of the window 12, and the differentiated text DT of application 2 can be displayed in the area 201 of the window 12, so that the differentiated text DT of application 2 is placed in the area 201 of the window 12.
  • Differentiated image DF can be filled in a partial area of the window 12, and the differentiated text DT of application 2 can be displayed in the area 201 of the window 12, so that the differentiated text DT of application 2 is placed in the area 201 of the window 12.
  • the differentiated image DF of application 2 can be filled in the entire area of the window 12 .
  • the differentiated image DF of application 2 can be filled in part of the window 12 .
  • the mobile phone After detecting the user's operation 22 of instructing to view the details page of Application 2 in area 104 or window 12 (such as clicking on area 1041 or window 12), the mobile phone may display the details page of Application 2.
  • the window 12 is also used to provide an entrance to install or update the application 2.
  • the window 12 may also include: a control 202.
  • the control 202 is used to provide an entrance to install or update the application 2 in the mobile phone.
  • this application does not limit the display parameters of the control 202 in the window 12 such as position, size, color, shape, etc.
  • control 202 is placed in the differentiated image DF.
  • control 202 is placed in the area of the window 12 except where the differentiated image DF is displayed.
  • the mobile phone After the mobile phone detects that the user instructs the operation 23 to install or update Application 2 in the area 104 or window 12 (such as clicking on the control 1042 or the control 202), the mobile phone can download the installation package/patch package of Application 2 and install it on the mobile phone. Install or update Application 2.
  • the electronic device when the electronic device displays the details page of Application 1, it can recommend Application 2 to the user, and can also show the difference between Application 2 and Application 1 to the user through a combination of pictures and texts/images, so that the user can quickly Fully understand the features and advantages of Application 2 and increase users' interest in downloading Application 2.
  • FIG. 3A shows a schematic structural diagram of a communication system provided by an embodiment of the present application.
  • the communication system 10 may include: an electronic device 110 and a server 210 .
  • the electronic device 110 is used to run various applications, initiate different types of requests to the server 210, and obtain responses corresponding to the different types of requests from the server 210.
  • electronic device 110 may run an application marketplace.
  • the application market may be used to respond to operation 1 for viewing the details page of application 1, send a request 1 for viewing the details page of application 1 to the server 210, and may also be used to receive an application recommendation list of application 1 from the server 210, And the description information of Application 1 and the application recommendation list of Application 1 are presented on the details page of Application 1.
  • operation 1 mentioned in this application can not only trigger the display of the description information of Application 1 in the details page of Application 1, but also trigger the display of the application recommendation list of Application 1 in the details page of Application 1.
  • Operation 1 mentioned in this application may include operations triggered on application 1's description information such as icons, names, and images (such as pictures or video animations). Operation 1 may adopt types such as long press, click, double click, and slide. .
  • the application recommendation list of application 1 may include: application 2
  • the application market is also configured to respond to the operation 21 of viewing application 2 in the application recommendation list of application 1, sending to the server 210 a method for viewing application 2 and application 1.
  • the request 2 for the difference information between application 2 and application 1 can also be used to receive the difference information between application 2 and application 1 from the server 210, and display the difference information between application 2 and application 1.
  • Operation 21 can trigger the display of differentiated information between Application 2 and Application 1.
  • Operation 21 may include operations triggered on description information such as icons, names, and images (such as pictures or video animations) of Application 2 in the application recommendation list of Application 1.
  • Operation 21 may use methods such as long press, click, double click, Sliding and other types.
  • the App Market is also used to respond to the The operation 22 of viewing the details page of application 2 in the application recommendation list of application 1 is to send a request 3 for viewing the details page of application 2 to the server 210. It can also be used to receive the application recommendation list of application 2 from the server 210, and in application 2 The description information of Application 2 and the application recommendation list of Application 2 are presented on the details page.
  • Operation 22 can trigger the display of the details page of application 2.
  • Operation 22 may include operations triggered on description information such as icons, names, and images (such as pictures or video animations) of Application 2 in the application recommendation list of Application 1.
  • Operation 22 may adopt methods such as long press, click, double click, Sliding and other types.
  • operation 21 and operation 22 are of different types.
  • operation 21 is a long press operation
  • operation 22 is a click operation. Therefore, the interface layout of the details page of Application 1 can be optimized to avoid occupying the layout space of the details page of Application 1.
  • the application market is also configured to respond to the operation 23 of downloading Application 2 in the application recommendation list of Application 1, sending a request for downloading Application 2 to the server 210.
  • the installation package/patch package request 4 can also be used to receive the installation package/patch package of application 2 from the server 210, or the download address of the installation package/patch package, and install or update application 2 in the electronic device 110.
  • Operation 23 can also trigger the installation or update of the application 2 in the electronic device 110 .
  • Operation 23 may include an operation triggered on a control in the application recommendation list of Application 1 or the differentiated information of Application 2. Operation 23 may be of the type such as long press, click, double click, slide, etc.
  • the electronic device 110 may be a mobile phone, a tablet computer, a notebook computer, a wearable device, a vehicle-mounted device, an augmented reality (AR)/virtual reality (VR) device, or an ultra-mobile personal computer.
  • computer UMPC
  • netbook personal digital assistant (personal digital assistant, PDA), smart TV, smart screen, high-definition TV, 4K TV, smart speaker, smart projector and other equipment.
  • PDA personal digital assistant
  • smart TV smart screen, high-definition TV, 4K TV, smart speaker, smart projector and other equipment.
  • the server 210 is configured to receive various types of requests from the electronic device 110 and transmit responses corresponding to the different types of requests to the electronic device 110 .
  • the server 210 may be a backend server of the application market.
  • the server 210 may be configured to receive a request 1 for viewing the details page of application 1 from the application market, and may also be configured to respond to the request 1, determine an application recommendation list of application 1, and send the application recommendation list of application 1 to the application market.
  • the application recommendation list of application 1 may include: application 2.
  • the server 210 is also configured to receive a request 2 from the application market for viewing the differentiated information of application 2 in the application recommendation list of application 1, and may also be configured to respond to the request 2 and determine the difference between application 2 and application 1. information, and sends differentiated information between Application 2 and Application 1 to the application market.
  • the server 210 is also configured to receive a request 3 for viewing the details page of application 2 from the application market, and may also be configured to respond to the request 3, determine the application recommendation list of application 2, and send the application recommendation list of application 2 to the application market. .
  • Server 210 is also configured to receive a request 4 for downloading application 2 from the application market, and in response to the request 4, determine the installation package/patch package of application 2, or the download address of the installation package/patch package, and provide the The App Market sends the installation package/patch package of Application 2, or the download address of the installation package/patch package.
  • this application does not limit the specific implementation methods of the mentioned requests 1, 2, 3 and 4.
  • the server 210 may be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or may provide cloud services, cloud databases, cloud computing, cloud functions, and cloud storage.
  • Cloud servers for basic cloud computing services such as storage, network services, cloud communications, middleware services, domain name services, security services, content delivery network (CDN), and big data and artificial intelligence platforms.
  • the electronic device 110 and the server 210 may be connected directly or indirectly through wired or wireless communication methods.
  • wired communication methods can use coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL), etc.
  • Wireless communication methods can use Bluetooth, infrared, wireless (Wi-Fi), microwave, etc.
  • the network can be used as a communication medium between the electronic device 110 and the server 210, and can be a wide area network or a local area network, or a combination of the two.
  • this application can be implemented with the help of cloud technology.
  • Cloud technology refers to a hosting system that unifies a series of resources such as hardware, software, and networks within a wide area network or local area network to realize data calculation, storage, processing, and sharing. technology.
  • FIG. 3B shows a software structure block diagram of the electronic device 110 and the server 210 in the communication system shown in FIG. 3A.
  • the server 210 provided by this application can include: a data acquisition module 211, a feature extraction module 212, a correlation calculation module 213 and a difference detection module 214.
  • the electronic device 110 can include: an application recommendation module 111 and a differentiation module. Presentation module 112.
  • the data acquisition module 211 is configured to obtain the description information of all applications including Application 1, that is, the description information of Application 1 and For the description information of each application except Application 1, the description information of each application involved here can be found in the description of the description information of Application 1 mentioned above, and will not be described again here.
  • the data acquisition module 211 can provide the feature extraction module 212 with description information of all applications including Application 1.
  • the feature extraction module 212 is used for extracting the features of any application program including Application 1 based on the description information of the application program. For example, extracting the features of Application 1 based on the description information of Application 1. Another example is to extract the characteristics of each remaining application based on the description information of each remaining application.
  • the feature extraction module 212 can input the extracted features of all applications, including Application 1, into the correlation calculation module 213 and the difference detection module 214 respectively.
  • the feature extraction module 212 may include: classification sub-network module 2121, keyword tag sub-network module A 2122, keyword tag sub-network module B 2123, text sub-network module 2124, multi-modal text fusion module 2125, pre- The semantic sub-network module 2126, the image sub-network module 2127 and the multi-modal feature fusion module 2128 are trained.
  • FIG. 4 shows a signaling interaction diagram for each software module in the feature extraction module 212 to extract features of the application 1 .
  • each software module in the feature extraction module 212 to extract features of the application 1 may include:
  • the classification sub-network module 2121 performs classification prediction on the text information of Application 1, and obtains the classification features of Application 1.
  • the classification sub-network module 2121 transmits the classification features of Application 1 to the multi-modal text fusion module 2125.
  • the classification sub-network module 2121 is used to perform classification prediction on the text information of Application 1, and transmit the classification features of Application 1 to the multi-modal text fusion module 2125.
  • the classification characteristics of Application 1 are used to determine the type of Application 1.
  • the type of an application mentioned in this application can be divided into coarse-grained or fine-grained, and this application does not limit this.
  • the type of application 1 can be a game class.
  • the type of application 1 can be the puzzle category in the game category.
  • the types of Application 1 and Application 2 can be sports and health categories.
  • the type of application 1 can be the recording category in the sports and health category
  • the type of application 2 can be the exercise category or the health category in the sports and health category.
  • the classification sub-network module 2121 is of the supervised type and is specifically used to classify and predict the text information of Application 1 through a supervised sub-network model, where the classification labels of the supervised sub-network model are manually annotated. owned.
  • the keyword tag sub-network module A 2122 performs keyword tag prediction on the text information of Application 1, and obtains the keyword tag feature 1 of Application 1. There may be one or more keyword tag features 1 of Application 1, and this application does not limit the specific number of keyword tag features 1 of Application 1.
  • the keyword tag sub-network module A 2122 transmits the keyword tag feature 1 of the application 1 to the multi-modal text fusion module 2125.
  • the keyword tag sub-network module A 2122 is used to predict keyword tags for the text information of Application 1, and transmit the keyword tag features of Application 1 to the multi-modal text fusion module 2125.
  • the keyword tag feature 1 of Application 1 is used to represent the characteristics of Application 1 from the perspective of text description.
  • the keyword tag feature 1 of application 1 may include: beauty, selfie, picture editing, etc.
  • the keyword label sub-network module A 2122 belongs to the supervised type, and is specifically used to perform label prediction on the text information of Application 1 through a supervised sub-network model, where the labels of the supervised sub-network model are obtained by Obtained by manual annotation.
  • the keyword tag sub-network module B 2123 performs keyword tag prediction on the description information related to application 1 mined from the Internet corpus, and obtains the keyword tag feature 2 of application 1. There may be one or more keyword tag features 2 of Application 1, and this application does not limit the specific number of keyword tag features 2 of Application 1.
  • the keyword tag sub-network module B 2123 transmits the keyword tag feature 2 of the application 1 to the multi-modal text fusion module 2125.
  • the keyword tag sub-network module B 2123 is used to predict keyword tags for the description information related to Application 1 mined from the Internet corpus, and transmit the keyword tag features of Application 1 to the multi-modal text fusion module 2125.
  • the keyword tag feature 2 of Application 1 is used to enrich/supplement the characteristics of Application 1 from the perspective of text description.
  • Application 1 is a selfie application
  • the keyword tag feature 2 of Application 1 may include: beauty, selfie, puzzle, picture editing, etc.
  • the keyword label sub-network module B 2123 is of the unsupervised type, and is specifically used to obtain the description information related to application 1 mined from the Internet corpus through unsupervised counting of word frequencies.
  • the text sub-network module 2124 performs text recognition on the image information of Application 1, and obtains the keyword tag feature 3 of Application 1.
  • Keyword tag features 3 of Application 1 There may be one or more keyword tag features 3 of Application 1, and this application does not limit the specific number of keyword tag features 3 of Application 1.
  • the text sub-network module 2124 transmits the keyword tag feature 3 of the application 1 to the multi-modal text fusion module 2125.
  • the text sub-network module 2124 is used to use technology such as optical character recognition (optical character recognition, OCR) to perform text recognition on the image information of Application 1, and transmit the keyword tag features of Application 1 to the multi-modal text fusion module 2125 3.
  • technology such as optical character recognition (optical character recognition, OCR) to perform text recognition on the image information of Application 1, and transmit the keyword tag features of Application 1 to the multi-modal text fusion module 2125 3.
  • the keyword tag feature 3 of Application 1 is used to represent the characteristics of Application 1 in the text part of the image description perspective.
  • the keyword tag feature 3 of Application 1 may include: stickers, picture editing, etc.
  • the multi-modal text fusion module 2125 unifies the classification features of Application 1, the keyword tag features 1 of Application 1, the keyword tag features 2 of Application 1, and the keyword tag features 3 of Application 1 into the text feature vector of Application 1. .
  • the multi-modal text fusion module 2125 transmits the text feature vector of Application 1 to the pre-trained semantic sub-network module 2126.
  • the multi-modal text fusion module 2125 is used to unify the classification features of Application 1 and the keyword tag features of Application 1 into the text feature vector of Application 1, and transmit the text feature vector of Application 1 to the pre-trained semantic sub-network module 2126.
  • the text feature vector of Application 1 is used to represent the comprehensive characteristics of Application 1 from the perspective of text description.
  • the text feature vectors of Application 1 can be vectorized in the form of matrices, mathematical symbols, etc.
  • the pre-trained semantic sub-network module 2126 transmits the text feature vector of Application 1 to the multi-modal feature fusion module 2128.
  • the image subnetwork module 2127 performs feature extraction on the image information of Application 1, and obtains the image feature vector of Application 1. Among them, the image feature vector of application 1 is used to represent the characteristics of application 1 on the image part of the image description angle.
  • the image sub-network module 2127 transmits the image feature vector of application 1 to the multi-modal feature fusion module 2128.
  • the image sub-network module 2127 is used to extract features from the image information of Application 1, and transmit the image feature vector of Application 1 to the multi-modal feature fusion module 2128.
  • the image feature vector of application 1 is used to represent the characteristics of application 1 on the image part of the image description angle.
  • the image feature vectors of Application 1 can be vectorized in the form of matrices, mathematical symbols, etc.
  • the image sub-network module 2127 is of the unsupervised type and is specifically used to extract features such as style and content in an unsupervised manner from the image information of Application 1.
  • the image sub-network module 2127 can input the image information of Application 1 into the neural network model, obtain the weight of the image information of Application 1 in the neural network model by training the neural network model, and can obtain the weight of the image information of Application 1 in the neural network model, and can obtain the weight of the image information of Application 1 in the neural network model.
  • the middle layer extracts the image feature vector of application 1.
  • the keyword tag feature 3 of Application 1 and the image feature vector of Application 1 are both obtained from the image information of Application 1, and can represent two modalities of the image information of Application 1, that is, the same Two modes of information.
  • the multi-modal feature fusion module 2128 inputs the text feature vector of Application 1 and the image feature vector of Application 1 into the multi-modal network model for training, and obtains the multi-modal fusion feature vector of Application 1 through reasoning.
  • the multi-modal fusion feature vector of Application 1 is used to represent the fusion characteristics of Application 1 from the text description perspective and the image description perspective.
  • the multi-modal fusion feature vector of Application 1 can be vectorized in the form of matrices, mathematical symbols, etc.
  • the multi-modal feature fusion module 2128 transmits the text feature vector of application 1 to the correlation calculation module 213.
  • the multi-modal feature fusion module 2128 transmits the multi-modal fusion feature vector of application 1 to the difference detection module 214.
  • application 1 is the Huawei Sports Health application.
  • the text information of App 1 can include: Huawei Sports Health App provides you with professional exercise records, fat loss and shaping training courses, combined with scientific sleep and health services, allowing you to run faster and further, and become healthier , and the following:
  • the running training plan supports online training plans from 5 kilometers to full marathon. Whether you are a novice or a marathon veteran, you can run faster, farther and safer than before.
  • Data sharing supports pedometer data sharing to third-party platforms such as WeChat Sports, QQ Sports, and Alipay Sports.
  • the description information related to Application 1 mined from the Internet corpus can include the following:
  • Third-party applications access the Huawei Sports Health Platform test case v1.0 through the client-side JAVA interface; third-party services access the Huawei Sports Health Platform test case v1.0 through the client-side JS interface;...
  • Sports Health is a smart sports equipment application created for users and friends. Many users and friends will wear Huawei smart watches. This Sports Health is a smart application connected to Huawei watches. Through it, users and friends can clearly see various activities. kind of sports data....
  • the mobile version of Huawei Sports Health 4.0.0 application is a software specially designed to provide users with various health exercise courses and exercise data recording. A variety of recording tools monitor all day long, and can record the user's life and walking data, amount of exercise, and Body expenditure index, etc., let’s use....
  • Huawei Sports Health App is a software that provides exercise detection 24 hours a day. Huawei Sports Health Pedometer allows users to understand their sports health data at a glance through charts. Huawei Sports Health Software provides comprehensive sports assistance recording functions. ..
  • Huawei Sports Health App is a sports health detection and control software created and launched by Huawei Group. This software is designed to meet the daily sports and health management service needs of millions of young users, and fully links smartphones with a variety of smart wearable devices. ..
  • Huawei Sports Health App is a very good physical health management software. It provides Huawei mobile phone users with 24-hour exercise monitoring and health services. The various rich charts of Huawei Sports Health App allow users to understand sports and fitness. ..
  • Sports and health software is a platform to help users get better fitness. It can supervise users to complete their daily exercise in a timely manner and popularize many related information for users. Health....
  • Huawei Sports Health App is a mobile application that provides 24-hour exercise detection and health services for Huawei Honor mobile phone users.
  • Huawei Sports Health App provides various rich data charts to allow users to analyze exercise and health data. The message is clear and enthusiastic....
  • Huawei Sports Health App is a mobile application that provides 24-hour exercise monitoring and health services for Huawei mobile phone users.
  • the various rich charts of Huawei Sports Health App allow users to understand exercise and health data at a glance. Welcome to download and use... .
  • Huawei Sports Health is a 24-hour exercise detection software provided by Huawei mobile phones. The software allows users to see sports health data at a glance through charts and provides comprehensive exercise assistance recording functions. Huawei Sports....
  • Huawei Sports Health App is a very easy-to-use sports and fitness pedometer software that can easily help users record the accurate number of steps every day. You can also perform exercise monitoring and health data management here, and you can also view recent exercise data. Clear at a glance, take notes anytime, anywhere...
  • the bracelet When used in conjunction with the Huawei bracelet, the bracelet also has thoughtful functions such as alarm clock reminder, sedentary reminder, incoming call reminder, remote control photo taking, anti-lost reminder, mobile phone search, etc., and can share exercise data to WeChat, Weibo, QQ, etc. Social platforms....
  • the image information of application 1 may include: image F11, image F12, and image F13 in FIG. 2A.
  • the classification sub-network module 2121 can obtain the classification features of Application 1, which may include: sports and health.
  • Keyword tag sub-network module A 2122 is based on the text information of application 1, and can obtain the keyword tag features 1 of application 1, which may include: sports management, health management, smart wear, physiological index detection and step counting.
  • Keyword tag subnetwork module B 2123 is based on the description information related to application 1 mined from the Internet corpus, and the keyword tag features 2 of application 1 can be obtained: Huawei sports, health sports, fitness and data.
  • the text sub-network module 2124 can obtain the keyword tag features 3 of Application 1, which may include: full cycle, all-round, health management, exercise experience, fat loss plan, diet management, quality courses, sleep aid music , intelligent analysis and scientific guidance.
  • the multi-modal text fusion module 2125 can unify the classification features of application 1, the keyword tag feature 1 of application 1, the keyword tag feature 2 of application 1, and the keyword tag feature 3 of application 1 into a text feature vector of application 1 .
  • the image subnetwork module 2127 can obtain the image feature vector of Application 1 based on the image information of Application 1.
  • the multi-modal feature fusion module 2128 can obtain the multi-modal fusion feature vector [A1, A2, A3] of Application 1 based on the text feature vector of Application 1 and the image feature vector of Application 1.
  • the features of Application 1 extracted by the feature extraction module 212 include: the text feature vector of Application 1 and the multi-modal fusion feature vector of Application 1.
  • the features of each of the remaining applications extracted by the feature extraction module 212 include: the text feature vector of each of the remaining applications and the multi-modality of each of the remaining applications. Fusion of feature vectors. For example, the text feature vector of Application 2 and the multi-modal fusion feature vector of Application 2 [B1, B2, B3].
  • the feature extraction module 212 can input all the extracted text feature vectors of all applications, including Application 1, to the correlation calculation module 213, and the feature extraction module 212 can input the extracted text feature vectors of all applications, including Application 1, into the correlation calculation module 213.
  • the multi-modal fusion features of all applications are input to the difference detection module 214.
  • the difference detection module 214 can also obtain the keyword tag features 1 of all applications including application 1 from the keyword tag sub-network module A 2122, and obtain the keyword tag features 1 of all applications including application 1 from the keyword tag sub-network module B 2123. Keyword tag features 2 of all applications in the text sub-network module 2124 are obtained from the text sub-network module 2124. Keyword tag features 3 of all applications including application 1 are obtained.
  • the correlation calculation module 213 is used to compare the features between Application 1 and each of the remaining applications based on the text feature vectors of all applications including Application 1, and calculate the relationship between Application 1 and each of the remaining applications. The correlation between them is used to obtain the application recommendation list of application 1.
  • the correlation calculation module 213 can determine the correlation between Application 1 and each of the remaining applications by comparing the semantic similarity of the text feature vectors of Application 1 and each of the remaining applications, and based on Based on the correlation between Application 1 and each of the other related applications, an application recommendation list for Application 1 is obtained.
  • the correlation calculation module 213 can calculate cosine distance, Euclidean distance, KL distance, etc. between two text feature vectors. The closer the distance, the stronger the similarity.
  • the correlation calculation module 213 may determine the semantic similarity of the text feature vectors of Application 1 and each of the remaining applications.
  • the correlation calculation module 213 may also use a semantic similarity retrieval method to determine the semantic similarity of the text feature vectors of Application 1 and each of the remaining applications.
  • the correlation calculation module 213 determines the scores of all the remaining applications based on the semantic similarity between application 1 and the text feature vectors of each of the remaining applications, and then calculates the scores of all the remaining applications based on the scores of all the remaining applications.
  • the programs are sorted sequentially, and the top N applications with the highest scores are used as the application recommendation list of application 1. Among them, N is a positive integer.
  • the correlation calculation module 213 is also used to combine the log information of user behavior data to optimize the characteristics between application 1 and each of the remaining applications.
  • the correlation calculation module 213 can optimize the text feature vectors of each of the remaining applications, which is beneficial to optimizing the relationship between application 1 and the remaining applications. Calculation of semantic similarity of text feature vectors for each application.
  • FIG. 5 shows a schematic flowchart of the correlation calculation module 213 shown in FIG. 3B optimizing the text feature vectors of each remaining application program.
  • the implementation process of the correlation calculation module 213 optimizing the text feature vector with the rest of each application may include:
  • the frequently downloaded applications are determined as positive samples, and some or all of the undownloaded applications are Determine the negative sample, and regard the positive sample and the negative sample as a pair of samples.
  • the correlation calculation module 213 may transmit the application recommendation list of Application 1 to the application recommendation module 111 .
  • the application recommendation list of application 1 may include: application 2.
  • the difference detection module 214 is used to compare Application 1 and the application recommendation list of Application 1 based on the multi-modal fusion feature vector of Application 1 and the multi-modal fusion feature vector of each application in the application recommendation list of Application 1 Features between each application in the application, detect the difference between the images between application 1 and each application in the application recommendation list of application 1, such as the image with the greatest difference, obtain the application recommendation list of application 1
  • the differentiated information of each application in that is, the differentiated information between application 2 and application 1.
  • the difference detection module 214 is also used to detect the difference between the images between Application 1 and each application in the application recommendation list of Application 1, and obtain the difference in the application recommendation list of Application 1.
  • the difference detection module 214 is also used to detect the difference between the images between Application 1 and each application in the application recommendation list of Application 1, and obtain the difference in the application recommendation list of Application 1.
  • the differentiated information of Application 2 may include: the differentiated image DF of Application 2.
  • the differentiated information of Application 2 may include: the differentiated image DF of Application 2 and the differentiated text DT of Application 2.
  • this application does not limit the specific implementation method of the differentiated image DF of Application 2.
  • the difference detection module 214 may calculate the semantic similarity between the multi-modal fusion feature vector of Application 2 and the multi-modal fusion feature vector of Application 1.
  • the difference detection module 214 can calculate cosine distance, Euclidean distance, KL distance, etc. between two multi-modal fusion feature vectors. The farther the distance, the stronger the difference.
  • the difference detection module 214 may determine the semantic similarity between Application 1 and the multi-modal fusion feature vector of each application in the application recommendation list of Application 1 .
  • the difference detection module 214 determines the difference between the images between Application 2 and Application 1 based on the above-mentioned semantic similarity, and obtains the differentiated image of Application 2 based on the level of difference between the images between Application 2 and Application 1. DF.
  • the difference detection module 214 may determine the image with the greatest difference between Application 2 and Application 1 as the differentiated image DF of Application 2.
  • FIG. 6 is a schematic diagram of the difference detection module 214 shown in FIG. 3B determining the differentiated image DF of Application 2.
  • the multi-modal feature fusion module 2128 can obtain the multi-modal fusion feature vector [A1, A2, A3] of application 1. , and the multi-modal fusion feature vector [B1, B2, B3] of Application 2.
  • the difference detection module 214 can obtain the multi-modal fusion feature vector [A1, A2, A3] of application 1 and the multi-modal fusion feature vector [B1, B2, B3] of application 2 from the multi-modal feature fusion module 2128.
  • the difference detection module 214 can calculate the semantics between the multi-modal fusion feature vector [A1, A2, A3] of application 1 and the multi-modal fusion feature vector [B1, B2, B3] of application 2. Similarity, and based on the aforementioned semantic similarity, select the image with the greatest difference from the image F21, image F22 and image F23 of application 2 as the image F21.
  • the difference detection module 214 can determine that the difference information between Application 2 and Application 1 includes: the difference image DF of Application 2 (ie, image F21).
  • FIG. 6 the image F11 , the image F12 and the image F13 of the application 1 shown in FIG. 2A are also shown in FIG. 6 .
  • the differentiated image DF of Application 2 can be calculated using the following formula:
  • Diff() is a calculation function for the differentiated image DF between Application 1 and Application 2
  • Map() is a mapping function from vector to image
  • Dis() is a measurement function for calculating the distance between vectors.
  • the difference detection module 214 may also determine the text used to describe the features and advantages of Application 2 as the differentiated text DT of Application 2.
  • the difference detection module 214 can use the differentiated image DF of Application 2 as the background, and add the differentiated text DT of Application 2 in the differentiated image DF of Application 2.
  • this application does not limit the specific implementation method of the differentiated text DT of Application 2.
  • FIGS. 7A to 7C show schematic diagrams of differentiated information of Application 2.
  • application 1 is the Huawei sports and health application
  • application 2 is the XX health and sports application
  • image F21 for illustration.
  • the differentiated text DT of Application 2 may be text provided by the developer of Application 2.
  • the difference detection module 214 may determine that the image F21 is the difference of Application 2 Image DF, it can be determined that text T31 is the differentiated text DT of application 2.
  • the difference detection module 214 may determine that the difference information of application 2 includes: image F21 and text T31, where text T31 is placed in image F21.
  • the differentiated text DT of Application 2 may be text generated by the difference detection module 214 .
  • the difference detection module 214 can generate the differentiated text DT of Application 2 in various ways.
  • the difference detection module 214 may focus more on reflecting the unique style or function of Application 2.
  • the text sub-network module 2124 is based on the text in the image F21, image F22 and image F23 of application 2, and can obtain the keyword tag feature 3 [L ocr 1 , L ocr 2 , L ocr 3 , ..., L of application 2 ocr o ], the difference detection module 214 can obtain the keyword tag feature 3 [L ocr 1 , L ocr 2 , L ocr 3 , ..., L ocr o ] of application 2 from the text subnetwork module 2124 , where o represents the keyword.
  • the difference detection module 214 sorts the keyword tag features 3 of Application 2 in descending order of weight, and takes a preset number (such as 3) of keyword tag features. 3 as the differentiated text DT of application 2.
  • the difference detection module 214 can determine that the image F21 is an application 2’s differentiated image DF, it can be determined that text T32 is the differentiated text DT of application 2.
  • the difference detection module 214 may determine that the difference information of application 2 includes: image F21 and text T32, where text T32 is placed in image F21.
  • the difference detection module 214 may focus more on reflecting the type and content of Application 2.
  • the keyword label sub-network module A 2122 can obtain the keyword label feature 1 of application 2 [L des 1 , L des 2 , L based on the text information T30 shown in Figure 1 and the text related to application 2 in the Internet corpus. des 3 ,...,L des p ], the difference detection module 214 can obtain the keyword tag feature 1 of application 2 from the keyword tag sub-network module A 2122 [L des 1 , L des 2 , L des 3 ,..., L des p ], where p represents the number of keyword tag features 1, and can determine the weight of each keyword tag feature 1 in application 2.
  • the difference detection module 214 can obtain the keyword tag features 2 [L net 1 , L net 2 , L net 3 , ..., L net q ] of application 2 from the keyword tag sub-network module B 2123 , where q represents the keyword tag.
  • the number of feature 2, and the weight of each keyword tag feature 2 of application 2 can be determined.
  • the difference detection module 214 can sum the weights of repeated keyword tag features in the keyword tag feature 1 and keyword tag feature 2 of application 2 to obtain the keyword tag feature 1 and keyword tag feature 2 of application 2. The weight of each unique keyword tag feature.
  • the difference detection module 214 determines each unique keyword tag feature in the keyword tag feature 1 and keyword tag feature 2 of application 2 in order from the largest to the largest. Sort in the smallest order, and take a preset number (such as 3) of keyword tag features as the differentiated text DT of Application 2.
  • the difference detection module 214 can determine that the image F21 is the difference of Application 2 Image DF, it can be determined that text T33 is the differentiated text DT of application 2.
  • the difference detection module 214 may determine that the difference information of application 2 includes: image F21 and text T33, where text T33 is placed in image F21.
  • the differentiated text DT of Application 2 can be placed at any overlay position in the differentiated image DF of Application 2. Among them, this application does not limit the coverage location.
  • the difference detection module 214 can determine the coverage position in combination with the space and style of the differentiated image DF of Application 2, so that the differentiated text DT of Application 2 is compatible with the differentiated image DF of Application 2.
  • the difference detection module 214 can perform text area detection on the differentiated image DF of Application 2, and use pixel distribution statistics to calculate the space with the most uniform pixel distribution on the differentiated image DF of Application 2.
  • the difference detection module 214 uses the position of the space in the differentiated image DF of Application 2 as the coverage position.
  • this application can use various methods to calculate the space with the most uniform distribution of pixels on the differentiated image DF of Application 2.
  • the difference detection module 214 can calculate the pixel space occupied by the differentiated text DT of application 2 based on the font size and font length of the differentiated text DT of application 2, and use a sliding window to calculate the statistics. Under the size of the pixel space occupied by the differentiated text DT of Application 2, the pixel mean and pixel variance of each area on the differentiated image DF of Application 2 are selected, and the area with the smallest pixel variance is selected as the space.
  • the font size of the differentiated text DT of Application 2 can be adaptively selected and set in combination with the font length of the differentiated text DT of Application 2.
  • the difference detection module 214 can use methods such as background fade, background blur, background blur, etc. to adjust the overall transparency of other areas in the differentiated image DF of application 2 except the coverage position, and use
  • the text color automatic matching method provided by the developer calculates the average pixel value of the area where the coverage position belongs. Therefore, the difference detection module 214 selects the color with the sharpest contrast (such as white or black) as the font color of the differentiated text DT of Application 2 based on the pixel mean value.
  • the difference detection module 214 can determine that the font color of the differentiated text DT of Application 2 is black, and the black pixels Value(255,255,255).
  • the difference detection module 214 can determine various parameters of the differentiated text DT of Application 2, such as the specific content, the coverage position in the differentiated image DF of Application 2, font size, and font color.
  • the difference detection module 214 may transmit the differentiation information of each application in the application recommendation list of Application 1 to the differentiation display module 112, such as the differentiation information between Application 2 and Application 1.
  • differentiated information between the recommended application and different applications can be adaptively displayed based on the respective characteristics of the different applications.
  • the application recommendation module 111 is configured to display the description information of Application 1 and the application recommendation list of Application 1 on the details page of Application 1, so as to recommend Application 2 related to Application 1 to the user based on the application recommendation list of Application 1.
  • the differentiated display module 112 is used to provide a display application based on the application recommendation list of application 1.
  • the entry for the differentiated information between Application 2 and Application 1 is also used to display the differentiated information between Application 2 and Application 1.
  • the differentiated display module 112 needs to be further implemented on the basis of the application recommendation module 111 recommending application 2 in the details page of application 1.
  • the differentiated display module 112 may use the image with the greatest image difference between Application 2 and Application 1, or the image with the greatest image difference between Application 2 and Application 1 and used to describe Application 2 Features and Benefits text to display differentiated information between Application 2 and Application 1.
  • Figure 8 shows a signaling interaction diagram of an application recommendation method provided by an embodiment of the present application.
  • the application recommendation method provided by this application may include:
  • the electronic device 110 After receiving operation 1 for viewing the details page of application 1, the electronic device 110 sends request 1 to the server 210.
  • the electronic device 110 may trigger the application recommendation module 111 in the electronic device 110.
  • the application recommendation module 111 in the electronic device 110 may send request 1 to the server 210 to obtain the application recommendation list of application 1 from the server 210 .
  • the server 210 determines the application recommendation list of application 1.
  • the data acquisition module 211 and the feature extraction module 212 in the server 210 obtain the text feature vectors of all applications including Application 1, and the correlation calculation module 213 in the server 210 is based on the text features of all applications including Application 1 Vector, calculate the correlation between application 1 and each of the remaining applications, and obtain the application recommendation list of application 1.
  • the server 210 sends the application recommendation list of application 1 to the electronic device 110.
  • the server 210 may transmit the application recommendation list of Application 1 to the application recommendation module 111 in the electronic device 110 .
  • the electronic device 110 displays the application recommendation list of Application 1 on the details page of Application 1, where the application recommendation list of Application 1 includes Application 2.
  • the application recommendation module 111 in the electronic device 110 may recommend application 2 in the application recommendation list of application 1 by using at least one method such as the application's icon, name, and image.
  • the electronic device 110 After receiving the operation 21 for viewing the differentiated information of application 2 in the application recommendation list of application 1, the electronic device 110 sends request 2 to the server 210.
  • the electronic device 110 may trigger the differentiated display module 112 in the electronic device 110.
  • the differentiated display module 112 in the electronic device 110 may send request 2 to the server 210 to obtain the differentiated information between application 2 and application 1 from the server 210.
  • the server 210 determines the differentiation information between the application 2 and the application 1.
  • the data acquisition module 211 and the feature extraction module 212 in the server 210 obtain the multi-modal information including application 1 Fusion feature vector and multi-modal fusion feature vector of application 2.
  • the difference detection module 214 in the server 210 determines application 2 and application 1 based on the multi-modal fusion feature vector of application 1 and the multi-modal fusion feature vector of application 2.
  • the difference between application 2 and application 1 is obtained, such as the differentiated image DF of application 2 and the differentiated text DT of application 2, or the differentiated image DF of application 2.
  • the server 210 sends the differentiation information between Application 2 and Application 1 to the electronic device 110.
  • the server 210 may transmit the differentiation information between Application 2 and Application 1 to the differentiation display module 112 in the electronic device 110 .
  • the electronic device 110 displays the differentiated information between Application 2 and Application 1 on the details page of Application 1.
  • the differentiated display module 112 in the electronic device 110 can display the differentiated information between Application 2 and Application 1 in the details page of Application 1 by combining pictures and texts/images, such as the differentiated image DF of Application 2 and Apply the differentiated text DT of 2, or apply the differentiated image DF of 2.
  • the differentiated information between Application 2 and Application 1 includes the differentiated image DF of Application 2 and the differentiated text DT of Application 2, as shown in Figures 9F to 9H. Differentiation information between application 2 and application 1 The difference image DF of application 2 is shown in Figure 9I- Figure 9J.
  • Figures 9A-9K are schematic diagrams of a human-computer interaction interface provided by an embodiment of the present application.
  • Application 1 is the Huawei Sports and Health application
  • Application 2 is the XX Health and Sports application.
  • the Huawei Running Health application and the XX Healthy Running application are not installed on the mobile phone, and as shown in Figures 2C and 2E Window 12 displays the differentiated information of the XX health exercise application as an example.
  • the mobile phone may display the user interface 91 as exemplarily shown in Figure 9A.
  • the user interface 91 may be the home screen of the desktop, and the user interface 91 may include but is not limited to: a status bar, a navigation bar, a calendar indicator, a weather indicator, and multiple application icons, such as smart life applications. icon, music application icon, phone manager application icon, XX video application icon, application market icon 901, memo icon, XX travel application icon, gallery application icon, call application icon, SMS application icon , browser icon, camera icon, etc.
  • the mobile phone After detecting the operation of opening the application market indicated by the user (such as performing a click operation on the icon 901 of the application market shown in FIG. 9A), the mobile phone may display the user interface 92 as exemplarily shown in FIG. 9B.
  • the user interface 92 may be a user interface of the application market, such as the main interface.
  • the user interface 92 may include: a search box 9021, which is used to provide an entrance to search target content (such as the name of any application or other applications related to the application).
  • search target content such as the name of any application or other applications related to the application.
  • the mobile phone After detecting the user-instructed operation of searching for the Huawei Sports Health application (such as the operation of inputting the target content "Huawei Sports Health" in the search box 9021 shown in Figure 9B), the mobile phone may display the example of Figure 9C on the user interface 92 Search box 9021 and window 9022 are shown. Among them, window 9022 is used to display an input keyboard and provide an entrance to the search box 9021 for inputting target content. The search box 9021 is also used to display the target content entered through the window 9022.
  • window 9022 may include: control 9023, which is used to provide search target content. Entrance.
  • the mobile phone may display the user interface 93 exemplarily shown in FIG. 9D.
  • the user interface 93 may be a user interface in an application market, used to display results of searching for target content.
  • the user interface 93 may include: area 903.
  • the area 903 is used to display description information such as icons, names, application descriptions, downloads, evaluation levels, functional interfaces, etc. of the Huawei Sports Health application, and to display applications of the Huawei Sports Health application. Recommended list, and an entrance to the details page of the Huawei Sports Health application.
  • the mobile phone may display the exemplary display shown in Figure 9E User interface 94.
  • the user interface 94 may be a user interface of the Huawei Sports Health application, such as the details page of the Huawei Sports Health application. It should be noted that the foregoing process may correspond to S31 and S34 in the embodiment of FIG. 8 .
  • user interface 94 may include: area 904, area 905, area 906, area 907, area 908, and area 909.
  • Area 904 is used to display description information such as icons, names, and other descriptions of the Huawei Sports Health application.
  • Area 905 is used to display description information such as rating size, rating, number of ratings, number of downloads, and lifespan of the Huawei Sports Health application.
  • Area 906 is used to display description information such as functional interface, evaluation information, recommendation description, function description, etc. of the Huawei Sports Health application.
  • the area 906 may include: image F11, image F12, and image F13 of application 1.
  • Area 907 is used to display description information such as function introduction and developer of the Huawei Sports Health application.
  • Area 908 is used to display the application recommendation list of Huawei sports and health applications, such as XX health and sports applications, etc., provides an entrance to install or update each recommended application, and provides a detailed page and differentiated information for displaying each recommended application. entrance.
  • the area 908 may include: the icon 9081 of the XX healthy exercise application, the name of the XX healthy exercise application, and the control 9082.
  • the icon 9081 of the XX Healthy Sports Application is used to provide an entrance to install the XX Healthy Sports Application, and to provide an entrance to display the details page and differentiated information of the XX Healthy Sports Application.
  • Control 9082 is used to provide an entrance to install the XX health sports application.
  • Area 909 is used to provide access to share the Huawei Sports Health application, install the Huawei Sports Health application, view the evaluation information of the Huawei Sports Health application, and launch the Huawei Sports Health application.
  • the mobile phone can also use the differentiated image DF of the XX Health and Sports application to provide users with an entrance to download/update/open the XX Health and Sports application.
  • the mobile phone may display Application 1 in area 906 of other images.
  • the mobile phone After the mobile phone detects the operation instructed by the user to view the differentiated information of the XX Health Sports application (such as performing a long press operation on the icon 9081 of the XX Health Sports application shown in Figure 9E), the mobile phone may display Figure 9F on the user interface 94 , the window 95 shown exemplarily in any one of FIG. 9G, FIG. 9H, FIG. 9I, and FIG. 9J. Among them, window 95 is used to display differentiated information of XX health exercise application. It should be noted that the aforementioned process can correspond to Figure 8 S35 and S38 in the embodiment.
  • the window 95 may include: a differentiated image DF of the XX health exercise application and a differentiated text DT of the XX health exercise application.
  • the window 95 may include: the differentiated image DF of the XX health exercise application.
  • the differentiated image DF of the XX health exercise application is filled in all or part of the window 95 .
  • the differentiated text DT of the XX healthy exercise application may be displayed in the area 9101 of the window 95, so that the differentiated text DT of the XX healthy exercise application is placed in the differentiated image DF of the XX healthy exercise application.
  • the window 95 may also include: a control 9102.
  • the control 9102 is used to provide an entrance to install the XX health exercise application.
  • the mobile phone can install XX in the mobile phone. Healthy exercise application.
  • the mobile phone can also use the differentiated image DF of the XX Health Sports Application to provide users with an entrance to view the details page of the XX Health Sports Application.
  • the mobile phone detects the user-instructed operation of viewing the details page of the XX Healthy Sports Application (such as the icon 9081 of the XX Healthy Sports Application shown in Figure 9E or the window 95 shown in Figures 9F to 9J After a click operation is performed on the blank area), the user interface 96 exemplarily shown in FIG. 9K may be displayed.
  • the user interface 96 is a user interface of the application market, and the user interface 96 is used to display the details page of the XX health exercise application.
  • the mobile phone when the mobile phone displays the details page of the Huawei Sports and Health application, it can recommend the XX Health and Sports application to the user, and can also show the user the relationship between the XX and the Huawei Sports and Health application through a combination of graphics and text/images.
  • the difference enables users to quickly understand the characteristics and advantages of XX Health Sports Application, and increases users' interest in downloading XX Health Sports Application.
  • this application provides an application recommendation method.
  • the application recommendation method of this application can be executed by electronic equipment.
  • electronic equipment For specific implementation methods of the electronic equipment, please refer to the description of the electronic equipment mentioned in Figure 3A and Figure 3B, which will not be described again here.
  • FIG. 10 is a schematic flowchart of an application recommendation method provided by an embodiment of the present application.
  • the application recommendation method of this application may include:
  • the specific implementation of the first interface please refer to the description of the details page of application 1 mentioned above, the user interface 11 shown in FIG. 2A and the user interface 94 shown in FIG. 9E.
  • the specific implementation method of the description information of the first application can be found in the description information of Application 1 mentioned above, area 101 and area in the user interface 11 shown in Figure 2A 102, area 103, area 104, and area 904, area 905, area 906, area 907, area 908, and area 909 in the user interface 94 shown in Figure 9E.
  • the specific implementation of the application recommendation list of the first application can be Referring to the description of the application recommendation list of Application 1 mentioned above, the area 104 in the user interface 11 shown in FIG. 2A and the area 908 in the user interface 94 shown in FIG. 9E , the specific implementation of the image related to the first application Please refer to the descriptions of the image information F11, F12 and F13 involved in the image information of the application 1 mentioned above, the area 102 in the user interface 11 shown in FIG. 2A and the area 906 in the user interface 94 shown in FIG. 9E.
  • the specific implementation of the text related to the first application please refer to the text information of the application 1 mentioned above and the log information of the user behavior data, the area 101, the area 102, the area 103 in the user interface 11 shown in Figure 2A and the figure
  • the specific implementation of the second application can be found in the aforementioned application 2 and XX. Description of the Healthy Exercise App.
  • the first operation please refer to the above-mentioned user-instructed operation of viewing the differentiated information of the XX Health Sports application and the description of performing a long press operation on the icon 9081 of the XX Health Sports application shown in Figure 9E .
  • the differentiated image DF of application 2 please refer to the differentiated image DF of application 2 mentioned above, the differentiated image DF of application 2 in the window 12 shown in Figures 2B to 2E, the image F21 in Figure 6 and
  • the specific implementation of the description information of the second application can be found in the description information of the application 2 mentioned above and the description of the user interface 96 shown in Figure 9K.
  • the application recommendation list of the second application please refer to the application recommendation list of Application 2 mentioned above and the description of related recommendations involved in the user interface 96 shown in Figure 9K.
  • the first image is an image related to the second application that is inferior to the image related to the first application.
  • the most alienated image is an image related to the second application that is inferior to the image related to the first application.
  • the difference between the second application and the first application can be displayed through images, which facilitates the user to accurately distinguish and quickly Selection improves the user experience of application recommendation, increases the conversion rate of application recommendation, and eliminates the need for manual configuration to obtain image display materials, thus avoiding the additional cost of application recommendation.
  • the second application related to the first application can be accurately recommended, which improves the relevance of application recommendation and reduces the probability of recommending applications unrelated to the first application, which is helpful to attract users to view or download the second application and increase It increases the click-through rate and download volume of the recommended second application, bringing a better recommendation experience to users.
  • the electronic device in response to the first operation, may also display a first text on the first interface, where the first text is used to represent features of the second application.
  • the electronic device recommends a second application related to the first application, it not only displays the difference between the second application and the first application through the combination of pictures and texts, making it convenient for the user to accurately distinguish and quickly select, but also It is helpful to highlight the characteristics and advantages of the second application, enable users to quickly fully understand the second application, increase users' interest in downloading the second application, and does not require manual configuration to obtain display materials that combine graphics and text, avoiding application recommendation of additional costs.
  • the first text may be placed in the first image, such as the differentiated text DT of application 2 is placed in the differentiated image DF of application 2 as shown in the embodiments of FIG. 2B-FIG. 2D and FIG. 9F-FIG. 9H middle. Therefore, it is more reasonable to display the difference between the second application and the first application through a combination of pictures and texts, as well as to demonstrate the characteristics and advantages of the second application.
  • the overlay position, font color, and font size of the first text are determined based on the first image.
  • the specific implementation of the foregoing process please refer to the description of setting parameters such as overlay position, font color, font size, etc. based on the differentiated image DF of Application 2 using the differentiated text DT of Application 2 mentioned above, which will not be done here. Repeat.
  • the electronic device can adaptively adjust the coverage position, font color, font size and other parameters of the first text in the first image, ensuring a better display effect of the first image and the first text.
  • the electronic device can obtain the first text in a variety of ways.
  • the first text includes at least one of: text provided by a developer of the second application, text related to the second application, or text in an image related to the second application.
  • the first text is provided by the developer of the second application.
  • the specific implementation method of the foregoing process can be found in the description of text T31 in FIG. 7A , and will not be described again here.
  • the first text is related to text related to the second application and text in the image related to the second application.
  • text T32 in FIG. 7B and text T33 in FIG. 7C please refer to the description of text T32 in FIG. 7B and text T33 in FIG. 7C, and will not be described again here.
  • the descriptive information related to the second application mined from the first text and Internet corpus may also be related.
  • the electronic device can recommend a second application in the application recommendation list of different applications.
  • Figure 11 is a schematic flow chart of an application recommendation method provided by an embodiment of the present application.
  • the application recommendation method of this application may include:
  • the description information of the third application includes images and text related to the third application.
  • the application recommendation list of the third application includes the second application.
  • the second application is an application program related to the third application, and the third application is different from the first application.
  • the second image is an image with the greatest difference between the second application-related image and the third application-related image.
  • S201, S202, and S203 mentioned above may be similar to the implementation methods of S101, S102, and S103 in the embodiment of FIG. 10, respectively, and will not be described again here.
  • the second image and the first image may be the same.
  • this application does not limit the specific type of the third application.
  • the third application and the first application are of the same type
  • the second image and the first image may be the same.
  • the third application and the first application are of different types
  • the second image and the first image may be different.
  • the electronic device can recommend the same application in the application recommendation lists of different applications, and can also display the same or different images of the application in the detail pages of different applications.
  • the electronic device may also display a trigger control on the first interface, and the trigger control is used to trigger the installation or update of the second application.
  • the trigger control is also used to trigger display of the details page of the second application.
  • the electronic device can also provide the user with a trigger control for installing or updating the second application, so that the user can quickly install or update the second application in the electronic device.
  • the trigger control may be placed in the first image, such as the control 9102 shown in the embodiments of FIGS. 2B, 2D, and 9F-9I is placed in the differentiated image DF of Application 2.
  • the electronic device can adaptively embed the trigger control in the first image, thereby improving the display effect of the first image.
  • the electronic device may receive a third operation for triggering the control. In response to the third operation, the electronic device may install or update the second application in the electronic device.
  • the electronic device can obtain the description information of the first application and the application recommendation list of the first application through communication with the server, so that the electronic device can display the details page of the first application, and can also obtain the first image and The first text enables the electronic device to display the first image in the details page of the first application.
  • Figure 12 is a schematic flow chart of an application recommendation method provided by an embodiment of the present application.
  • the application recommendation method of this application may include:
  • the first response For the specific implementation of the first response, please refer to the description of the differentiated information between Application 2 and Application 1 in S37 of the embodiment of Figure 8 mentioned above.
  • the first response is the server based on Figures 4, 5, and 6.
  • the first response can also carry the first text.
  • S37 of the embodiment of Figure 8 mentioned above For a description of the differentiated information between Application 2 and Application 1, for the specific implementation of the first response, please refer to the description of the differentiated image in S37 of the embodiment of Figure 8 mentioned above.
  • S302 For the specific implementation of S302, please refer to the above mentioned. The description of S37 in the embodiment of Figure 8 will not be repeated here.
  • the electronic device can recommend the second application and at the same time display the first image that is most differentiated between the second application and the first application.
  • the electronic device may provide the user with multiple entrances to the details page of the second application.
  • the electronic device may receive a fourth operation in the first image. In response to the fourth operation, the electronic device may display the description information of the second application and the application recommendation list in the third interface.
  • the electronic device may receive a fifth operation for the second application in the application recommendation list of the first application, the fifth operation being different from the first operation.
  • the electronic device may display the description information of the second application and the application recommendation list in the fifth interface.
  • this application does not limit the specific implementation of the first application and the second application.
  • the first interface is a user interface in an application market
  • the first application or the second application is an application program provided in the application market.
  • FIG. 13 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.
  • the electronic device 100 may include a processor 110, an external memory interface 120, an internal memory 121, a universal serial bus (USB) interface 130, a charging management module 140, a power management module 141, and a battery 142 , Antenna 1, Antenna 2, mobile communication module 150, wireless communication module 160, audio module 170, speaker 170A, receiver 170B, microphone 170C, headphone interface 170D, sensor module 180, button 190, motor 191, indicator 192, camera 193 , display screen 194, and subscriber identification module (subscriber identification module, SIM) card interface 195, etc.
  • SIM subscriber identification module
  • the sensor module 180 may include a pressure sensor 180A, a gyro sensor 180B, an air pressure sensor 180C, a magnetic sensor 180D, an acceleration sensor 180E, a distance sensor 180F, a proximity light sensor 180G, a fingerprint sensor 180H, a temperature sensor 180J, a touch sensor 180K, and ambient light. Sensor 180L, bone conduction sensor 180M, etc.
  • the structure illustrated in this application does not constitute a specific limitation on the electronic device 100 .
  • the electronic device 100 may include more or fewer components than illustrated, some components may be combined, some components may be separated, or components may be arranged differently.
  • the components illustrated may be implemented in hardware, software, or a combination of software and hardware.
  • the processor 110 may include one or more processing units.
  • the processor 110 may include an application processor (application processor, AP), a modem processor, a graphics processing unit (GPU), and an image signal processor. (image signal processor, ISP), controller, memory, video codec, digital signal processor (digital signal processor, DSP), baseband processor, and/or neural-network processing unit (NPU) wait.
  • application processor application processor, AP
  • modem processor graphics processing unit
  • GPU graphics processing unit
  • image signal processor image signal processor
  • ISP image signal processor
  • controller memory
  • video codec digital signal processor
  • DSP digital signal processor
  • baseband processor baseband processor
  • NPU neural-network processing unit
  • different processing units can be independent devices or integrated in one or more processors.
  • the controller may be the nerve center and command center of the electronic device 100 .
  • the controller can generate operation control signals based on the instruction operation code and timing signals to complete the control of fetching and executing instructions.
  • the processor 110 may also be provided with a memory for storing instructions and data.
  • the memory in processor 110 is cache memory. This memory may hold instructions or data that have been recently used or recycled by processor 110 . If the processor 110 needs to use the instructions or data again, it can be called directly from the memory. Repeated access is avoided and the waiting time of the processor 110 is reduced, thus improving the efficiency of the system.
  • processor 110 may include one or more interfaces.
  • Interfaces may include integrated circuit (inter-integrated circuit, I2C) interface, integrated circuit built-in audio (inter-integrated circuit sound, I2S) interface, pulse code modulation (pulse code modulation, PCM) interface, and universal asynchronous reception and reception transmitter.
  • I2C integrated circuit
  • I2S integrated circuit built-in audio
  • PCM pulse code modulation
  • UART universal asynchronous receiver/transmitter, UART
  • mobile industry processor interface mobile industry processor interface, MIPI
  • GPIO general-purpose input/output
  • SIM subscriber identity module
  • USB universal serial bus
  • the I2C interface is a bidirectional synchronous serial bus, including a serial data line (SDA) and a serial clock line (derail clock line, SCL).
  • processor 110 may include multiple sets of I2C buses.
  • the processor 110 can separately couple the touch sensor 180K, charger, flash, camera 193, etc. through different I2C bus interfaces.
  • the processor 110 can be coupled to the touch sensor 180K through an I2C interface, so that the processor 110 and the touch sensor 180K communicate through the I2C bus interface to implement the touch function of the electronic device 100 .
  • the I2S interface can be used for audio communication.
  • processor 110 may include multiple sets of I2S buses.
  • the processor 110 can be coupled with the audio module 170 through the I2S bus to implement communication between the processor 110 and the audio module 170 .
  • the audio module 170 can transmit audio signals to the wireless communication module 160 through the I2S interface to implement the function of answering calls through a Bluetooth headset.
  • the PCM interface can also be used for audio communications to sample, quantize and encode analog signals.
  • the audio module 170 and the wireless communication module 160 may be coupled through a PCM bus interface.
  • the audio module 170 can also transmit audio signals to the wireless communication module 160 through the PCM interface to implement the function of answering calls through a Bluetooth headset. Both the I2S interface and the PCM interface can be used for audio communication.
  • the UART interface is a universal serial data bus used for asynchronous communication.
  • the bus can be a bidirectional communication bus. It converts the data to be transmitted between serial communication and parallel communication.
  • a UART interface is generally used to connect the processor 110 and the wireless communication module 160 .
  • the processor 110 communicates with the Bluetooth module in the wireless communication module 160 through the UART interface to implement the Bluetooth function.
  • the audio module 170 can transmit audio signals to the wireless communication module 160 through the UART interface to implement the function of playing music through a Bluetooth headset.
  • the MIPI interface can be used to connect the processor 110 with peripheral devices such as the display screen 194 and the camera 193 .
  • MIPI interfaces include camera serial interface (CSI), display serial interface (DSI), etc.
  • the processor 110 and the camera 193 communicate through the CSI interface to implement the shooting function of the electronic device 100 .
  • the processor 110 and the display screen 194 communicate through the DSI interface to implement the display function of the electronic device 100 .
  • the GPIO interface can be configured through software.
  • the GPIO interface can be configured as a control signal or as a data signal.
  • the GPIO interface can be used to connect the processor 110 with the camera 193, display screen 194, wireless communication module 160, audio module 170, sensor module 180, etc.
  • the GPIO interface can also be configured as an I2C interface, I2S interface, UART interface, MIPI interface, etc.
  • the USB interface 130 is an interface that complies with the USB standard specification, and may be a Mini USB interface, a Micro USB interface, a USB Type C interface, etc.
  • the USB interface 130 can be used to connect a charger to charge the electronic device 100, and can also be used to transmit data between the electronic device 100 and peripheral devices. It can also be used to connect headphones to play audio through them. This interface can also be used to connect other electronic devices, such as AR devices, etc.
  • the interface connection relationships between the modules illustrated in this application are only schematic illustrations and do not constitute a structural limitation of the electronic device 100 .
  • the electronic device 100 may also adopt the above-mentioned Different interface connection methods in the embodiment, or a combination of multiple interface connection methods.
  • the charging management module 140 is used to receive charging input from the charger.
  • the charger can be a wireless charger or a wired charger.
  • the charging management module 140 may receive charging input from the wired charger through the USB interface 130 .
  • the charging management module 140 may receive wireless charging input through the wireless charging coil of the electronic device 100 . While the charging management module 140 charges the battery 142, it can also provide power to the electronic device through the power management module 141.
  • the power management module 141 is used to connect the battery 142, the charging management module 140 and the processor 110.
  • the power management module 141 receives input from the battery 142 and/or the charging management module 140, and supplies power to the processor 110, internal memory 121, external memory, display screen 194, camera 193, wireless communication module 160, etc.
  • the power management module 141 can also be used to monitor battery capacity, battery cycle times, battery health status (leakage, impedance) and other parameters.
  • the power management module 141 may also be provided in the processor 110 .
  • the power management module 141 and the charging management module 140 may also be provided in the same device.
  • the wireless communication function of the electronic device 100 can be implemented through the antenna 1, the antenna 2, the mobile communication module 150, the wireless communication module 160, the modem processor and the baseband processor.
  • Antenna 1 and Antenna 2 are used to transmit and receive electromagnetic wave signals.
  • Each antenna in electronic device 100 may be used to cover a single or multiple communication frequency bands. Different antennas can also be reused to improve antenna utilization. For example: Antenna 1 can be reused as a diversity antenna for a wireless LAN. In other embodiments, antennas may be used in conjunction with tuning switches.
  • the mobile communication module 150 can provide solutions for wireless communication including 2G/3G/4G/5G applied on the electronic device 100 .
  • the mobile communication module 150 may include at least one filter, switch, power amplifier, low noise amplifier (LNA), etc.
  • the mobile communication module 150 can receive electromagnetic waves through the antenna 1, perform filtering, amplification and other processing on the received electromagnetic waves, and transmit them to the modem processor for demodulation.
  • the mobile communication module 150 can also amplify the signal modulated by the modem processor and convert it into electromagnetic waves through the antenna 1 for radiation.
  • at least part of the functional modules of the mobile communication module 150 may be disposed in the processor 110 .
  • at least part of the functional modules of the mobile communication module 150 and at least part of the modules of the processor 110 may be provided in the same device.
  • a modem processor may include a modulator and a demodulator.
  • the modulator is used to modulate the low-frequency baseband signal to be sent into a medium-high frequency signal.
  • the demodulator is used to demodulate the received electromagnetic wave signal into a low-frequency baseband signal.
  • the demodulator then transmits the demodulated low-frequency baseband signal to the baseband processor for processing.
  • the application processor outputs sound signals through audio devices (not limited to speaker 170A, receiver 170B, etc.), or displays images or videos through display screen 194.
  • the modem processor may be a stand-alone device.
  • the modem processor may be independent of the processor 110 and may be provided in the same device as the mobile communication module 150 or other functional modules.
  • the wireless communication module 160 can provide applications on the electronic device 100 including wireless local area networks (WLAN) (such as wireless fidelity (Wi-Fi) network), Bluetooth (bluetooth, BT), and global navigation satellites. Wireless communication solutions such as global navigation satellite system (GNSS), frequency modulation (FM), near field communication (NFC), infrared technology (infrared, IR), etc.
  • WLAN wireless local area networks
  • BT Bluetooth
  • GNSS global navigation satellite system
  • FM frequency modulation
  • NFC near field communication
  • IR infrared technology
  • the wireless communication module 160 may be one or more devices integrating at least one communication processing module.
  • the wireless communication module 160 receives electricity via the antenna 2 Magnetic wave, frequency modulate and filter the electromagnetic wave signal, and send the processed signal to the processor 110 .
  • the wireless communication module 160 can also receive the signal to be sent from the processor 110, frequency modulate it, amplify it, and convert it into electromagnetic waves through the antenna 2 for radiation.
  • the antenna 1 of the electronic device 100 is coupled to the mobile communication module 150, and the antenna 2 is coupled to the wireless communication module 160, so that the electronic device 100 can communicate with the network and other devices through wireless communication technology.
  • the wireless communication technology may include global system for mobile communications (GSM), general packet radio service (GPRS), code division multiple access (CDMA), broadband Code division multiple access (wideband code division multiple access, WCDMA), time division code division multiple access (time-division code division multiple access, TD-SCDMA), long term evolution (long term evolution, LTE), BT, GNSS, WLAN, NFC , FM, and/or IR technology, etc.
  • the GNSS may include global positioning system (GPS), global navigation satellite system (GLONASS), Beidou navigation satellite system (BDS), quasi-zenith satellite system (quasi) -zenith satellite system (QZSS) and/or satellite based augmentation systems (SBAS).
  • GPS global positioning system
  • GLONASS global navigation satellite system
  • BDS Beidou navigation satellite system
  • QZSS quasi-zenith satellite system
  • SBAS satellite based augmentation systems
  • the electronic device 100 implements display functions through a GPU, a display screen 194, an application processor, and the like.
  • the GPU is an image processing microprocessor and is connected to the display screen 194 and the application processor. GPUs are used to perform mathematical and geometric calculations for graphics rendering.
  • Processor 110 may include one or more GPUs that execute program instructions to generate or alter display information.
  • the display screen 194 is used to display images, videos, etc.
  • Display 194 includes a display panel.
  • the display panel can use a liquid crystal display (LCD), an organic light-emitting diode (OLED), an active matrix organic light emitting diode or an active matrix organic light emitting diode (active-matrix organic light emitting diode).
  • LCD liquid crystal display
  • OLED organic light-emitting diode
  • AMOLED organic light-emitting diode
  • FLED flexible light-emitting diode
  • Miniled MicroLed, Micro-oLed, quantum dot light emitting diode (QLED), etc.
  • the electronic device 100 may include 1 or N display screens 194, where N is a positive integer greater than 1.
  • the electronic device 100 can implement the shooting function through an ISP, a camera 193, a video codec, a GPU, a display screen 194, an application processor, and the like.
  • the ISP is used to process the data fed back by the camera 193. For example, when taking a photo, the shutter is opened, the light is transmitted to the camera sensor through the lens, the optical signal is converted into an electrical signal, and the camera sensor passes the electrical signal to the ISP for processing, and converts it into an image visible to the naked eye. ISP can also perform algorithm optimization on image noise, brightness, and skin color. ISP can also optimize the exposure, color temperature and other parameters of the shooting scene. In some embodiments, the ISP may be provided in the camera 193.
  • Camera 193 is used to capture still images or video.
  • the object passes through the lens to produce an optical image that is projected onto the photosensitive element.
  • the photosensitive element may be a charge coupled device (CCD) or a complementary metal-oxide-semiconductor (CMOS) phototransistor.
  • CMOS complementary metal-oxide-semiconductor
  • the photosensitive element converts the optical signal into an electrical signal, and then passes the electrical signal to the ISP to convert it into a digital image signal.
  • ISP outputs digital image signals to DSP for processing.
  • DSP converts digital image signals into standard RGB, YUV and other format image signals.
  • the electronic device 100 may include 1 or N cameras 193 , N being A positive integer greater than 1.
  • Digital signal processors are used to process digital signals. In addition to digital image signals, they can also process other digital signals. For example, when the electronic device 100 selects a frequency point, the digital signal processor is used to perform Fourier transform on the frequency point energy.
  • Video codecs are used to compress or decompress digital video.
  • Electronic device 100 may support one or more video codecs. In this way, the electronic device 100 can play or record videos in multiple encoding formats, such as moving picture experts group (MPEG) 1, MPEG2, MPEG3, MPEG4, etc.
  • MPEG moving picture experts group
  • MPEG2 MPEG2, MPEG3, MPEG4, etc.
  • NPU is a neural network (NN) computing processor.
  • NN neural network
  • Intelligent cognitive applications of the electronic device 100 can be implemented through the NPU, such as image recognition, face recognition, speech recognition, text understanding, etc.
  • the external memory interface 120 can be used to connect an external memory card, such as a Micro SD card, to expand the storage capacity of the electronic device 100.
  • the external memory card communicates with the processor 110 through the external memory interface 120 to implement the data storage function. Such as saving music, videos, etc. files in external memory card.
  • Internal memory 121 may be used to store computer executable program code, which includes instructions.
  • the processor 110 executes instructions stored in the internal memory 121 to execute various functional applications and data processing of the electronic device 100 .
  • the internal memory 121 may include a program storage area and a data storage area. Among them, the stored program area can store an operating system, at least one application program required for a function (such as a sound playback function, an image playback function, etc.).
  • the storage data area may store data created during use of the electronic device 100 (such as audio data, phone book, etc.).
  • the internal memory 121 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, universal flash storage (UFS), etc.
  • the electronic device 100 can implement audio functions through the audio module 170, the speaker 170A, the receiver 170B, the microphone 170C, the headphone interface 170D, and the application processor. Such as music playback, recording, etc.
  • the audio module 170 is used to convert digital audio information into analog audio signal output, and is also used to convert analog audio input into digital audio signals. Audio module 170 may also be used to encode and decode audio signals. In some embodiments, the audio module 170 may be provided in the processor 110 , or some functional modules of the audio module 170 may be provided in the processor 110 .
  • Speaker 170A also called “speaker” is used to convert audio electrical signals into sound signals.
  • the electronic device 100 can listen to music through the speaker 170A, or listen to hands-free calls.
  • Receiver 170B also called “earpiece” is used to convert audio electrical signals into sound signals.
  • the electronic device 100 answers a call or a voice message, the voice can be heard by bringing the receiver 170B close to the human ear.
  • Microphone 170C also called “microphone” or “microphone” is used to convert sound signals into electrical signals. When making a call or sending a voice message, the user can speak close to the microphone 170C with the human mouth and input the sound signal to the microphone 170C.
  • the electronic device 100 may be provided with at least one microphone 170C. In other embodiments, the electronic device 100 may be provided with two microphones 170C, which in addition to collecting sound signals, may also implement a noise reduction function. In other embodiments, the electronic device 100 can also be provided with three, four or more microphones 170C to collect sound signals, reduce noise, identify sound sources, and implement directional recording functions, etc.
  • the headphone interface 170D is used to connect wired headphones.
  • the headphone interface 170D may be a USB interface 130, or may be a 3.5mm open mobile terminal platform (OMTP) standard interface, or a Cellular Telecommunications Industry Association of the USA (CTIA) standard interface.
  • OMTP open mobile terminal platform
  • CTIA Cellular Telecommunications Industry Association of the USA
  • the pressure sensor 180A is used to sense pressure signals and can convert the pressure signals into electrical signals.
  • pressure sensor 180A may be disposed on display screen 194 .
  • pressure sensors 180A there are many types of pressure sensors 180A, such as resistive pressure sensors, inductive pressure sensors, capacitive pressure sensors, etc.
  • a capacitive pressure sensor may include at least two parallel plates of conductive material.
  • the electronic device 100 determines the intensity of the pressure based on the change in capacitance.
  • the electronic device 100 detects the intensity of the touch operation according to the pressure sensor 180A.
  • the electronic device 100 may also calculate the touched position based on the detection signal of the pressure sensor 180A.
  • touch operations acting on the same touch location but with different touch operation intensities may correspond to different operation instructions. For example: when a touch operation with a touch operation intensity less than the first pressure threshold is applied to the short message application icon, an instruction to view the short message is executed. When a touch operation with a touch operation intensity greater than or equal to the first pressure threshold is applied to the short message application icon, an instruction to create a new short message is executed.
  • the gyro sensor 180B may be used to determine the motion posture of the electronic device 100 .
  • the angular velocity of electronic device 100 about three axes ie, x, y, and z axes
  • the gyro sensor 180B can be used for image stabilization. For example, when the shutter is pressed, the gyro sensor 180B detects the angle at which the electronic device 100 shakes, calculates the distance that the lens module needs to compensate based on the angle, and allows the lens to offset the shake of the electronic device 100 through reverse movement to achieve anti-shake.
  • the gyro sensor 180B can also be used for navigation and somatosensory game scenes.
  • Air pressure sensor 180C is used to measure air pressure. In some embodiments, the electronic device 100 calculates the altitude through the air pressure value measured by the air pressure sensor 180C to assist positioning and navigation.
  • Magnetic sensor 180D includes a Hall sensor.
  • the electronic device 100 may utilize the magnetic sensor 180D to detect opening and closing of the flip holster.
  • the electronic device 100 may detect the opening and closing of the flip according to the magnetic sensor 180D. Then, based on the detected opening and closing status of the leather case or the opening and closing status of the flip cover, features such as automatic unlocking of the flip cover are set.
  • the acceleration sensor 180E can detect the acceleration of the electronic device 100 in various directions (generally three axes). When the electronic device 100 is stationary, the magnitude and direction of gravity can be detected. It can also be used to identify the posture of electronic devices and be used in horizontal and vertical screen switching, pedometer and other applications.
  • Distance sensor 180F for measuring distance.
  • Electronic device 100 can measure distance via infrared or laser. In some embodiments, when shooting a scene, the electronic device 100 may utilize the distance sensor 180F to measure distance to achieve fast focusing.
  • Proximity light sensor 180G may include, for example, a light emitting diode (LED) and a light detector, such as a photodiode.
  • the light emitting diode may be an infrared light emitting diode.
  • the electronic device 100 emits infrared light outwardly through the light emitting diode.
  • Electronic device 100 uses photodiodes to detect infrared reflected light from nearby objects. When sufficient reflected light is detected, it can be determined that there is an object near the electronic device 100 . When insufficient reflected light is detected, the electronic device 100 may determine that there is no object near the electronic device 100 .
  • the electronic device 100 can use the proximity light sensor 180G to detect when the user holds the electronic device 100 close to the ear for talking, so as to automatically turn off the screen to save power.
  • the proximity light sensor 180G can also be used in holster mode, and pocket mode automatically unlocks and locks the screen.
  • the ambient light sensor 180L is used to sense ambient light brightness.
  • the electronic device 100 can adaptively adjust the brightness of the display screen 194 according to the perceived ambient light brightness.
  • the ambient light sensor 180L can also be used to automatically adjust the white balance when taking pictures.
  • the ambient light sensor 180L can also cooperate with the proximity light sensor 180G to detect whether the electronic device 100 is in the pocket to prevent accidental touching.
  • Fingerprint sensor 180H is used to collect fingerprints.
  • the electronic device 100 can use the collected fingerprint characteristics to achieve fingerprint unlocking, access to application locks, fingerprint photography, fingerprint answering of incoming calls, etc.
  • Temperature sensor 180J is used to detect temperature.
  • the electronic device 100 utilizes the temperature detected by the temperature sensor 180J to execute the temperature processing strategy. For example, when the temperature reported by the temperature sensor 180J exceeds a threshold, the electronic device 100 reduces the performance of a processor located near the temperature sensor 180J in order to reduce power consumption and implement thermal protection. In other embodiments, when the temperature is lower than another threshold, the electronic device 100 heats the battery 142 to prevent the low temperature from causing the electronic device 100 to shut down abnormally. In some other embodiments, when the temperature is lower than another threshold, the electronic device 100 performs boosting on the output voltage of the battery 142 to avoid abnormal shutdown caused by low temperature.
  • Touch sensor 180K also called “touch panel”.
  • the touch sensor 180K can be disposed on the display screen 194.
  • the touch sensor 180K and the display screen 194 form a touch screen, which is also called a "touch screen”.
  • the touch sensor 180K is used to detect a touch operation on or near the touch sensor 180K.
  • the touch sensor can pass the detected touch operation to the application processor to determine the touch event type.
  • Visual output related to the touch operation may be provided through display screen 194 .
  • the touch sensor 180K may also be disposed on the surface of the electronic device 100 at a location different from that of the display screen 194 .
  • Bone conduction sensor 180M can acquire vibration signals.
  • the bone conduction sensor 180M can acquire the vibration signal of the vibrating bone mass of the human body's vocal part.
  • the bone conduction sensor 180M can also contact the human body's pulse and receive blood pressure beating signals.
  • the bone conduction sensor 180M can also be provided in an earphone and combined into a bone conduction earphone.
  • the audio module 170 can analyze the voice signal based on the vibration signal of the vocal vibrating bone obtained by the bone conduction sensor 180M to implement the voice function.
  • the application processor can analyze the heart rate information based on the blood pressure beating signal acquired by the bone conduction sensor 180M to implement the heart rate detection function.
  • the buttons 190 include a power button, a volume button, etc.
  • Key 190 may be a mechanical key. It can also be a touch button.
  • the electronic device 100 may receive key inputs and generate key signal inputs related to user settings and function control of the electronic device 100 .
  • the motor 191 can generate vibration prompts.
  • the motor 191 can be used for vibration prompts for incoming calls and can also be used for touch vibration feedback.
  • touch operations for different applications can correspond to different vibration feedback effects.
  • the motor 191 can also respond to different vibration feedback effects for touch operations in different areas of the display screen 194 .
  • Different application scenarios such as time reminders, receiving information, alarm clocks, games, etc.
  • the touch vibration feedback effect can also be customized.
  • the indicator 192 may be an indicator light, which may be used to indicate charging status, power changes, or may be used to indicate messages, missed calls, notifications, etc.
  • the SIM card interface 195 is used to connect a SIM card.
  • the SIM card can be connected to or separated from the electronic device 100 by inserting it into the SIM card interface 195 or pulling it out from the SIM card interface 195 .
  • the electronic device 100 can support 1 or N SIM card interfaces, where N is a positive integer greater than 1.
  • SIM card interface 195 can support Nano SIM card, Micro SIM card, SIM card, etc. Multiple cards can be inserted into the same SIM card interface 195 at the same time. The type of cards in question Can be the same or different.
  • the SIM card interface 195 is also compatible with different types of SIM cards.
  • the SIM card interface 195 is also compatible with external memory cards.
  • the electronic device 100 interacts with the network through the SIM card to implement functions such as calls and data communications.
  • the electronic device 100 uses an eSIM, that is, an embedded SIM card.
  • the eSIM card can be embedded in the electronic device 100 and cannot be separated from the electronic device 100 .
  • the software system of the electronic device 100 may adopt a layered architecture, an event-driven architecture, a microkernel architecture, a microservice architecture, or a cloud architecture.
  • This application takes the Android system with a layered architecture as an example to illustrate the software structure of the electronic device 100 .
  • this application does not limit the type of operating system of the electronic device.
  • Android system Linux system, Windows system, iOS system, Hongmeng operating system (harmony operating system, Hongmeng OS), etc.
  • Figure 14 is a software structure block diagram of an electronic device provided by an embodiment of the present application. As shown in Figure 14, the layered architecture divides the software into several layers, and each layer has clear roles and division of labor. The layers communicate through software interfaces.
  • the Android system is divided into four layers, from top to bottom: application layer (APP), application framework layer (APP framework), Android runtime (Android runtime) and system libraries (libraries). And the kernel layer.
  • APP application layer
  • APP framework application framework layer
  • Android runtime Android runtime
  • system libraries libraries
  • the application layer can include a series of application packages.
  • the application package can include camera, gallery, calendar, call, map, navigation, WLAN, Bluetooth, music, video, game, chat, shopping, travel, instant messaging (such as short message), smart home, Device control and other applications (application, APP).
  • smart home applications can be used to control or manage home devices with networking capabilities.
  • home appliances may include lights, televisions, and air conditioners.
  • home equipment can also include anti-theft door locks, speakers, sweeping robots, sockets, body fat scales, desk lamps, air purifiers, refrigerators, washing machines, water heaters, microwave ovens, rice cookers, curtains, fans, TVs, set-top boxes, Doors, windows, etc.
  • the application package can also include: home screen (i.e. desktop), negative screen, control center, notification center and other applications.
  • negative one screen also known as "-1 screen” refers to sliding the screen to the right on the home screen of an electronic device until it slides to the leftmost split-screen user interface (UI).
  • the negative screen can be used to place some quick service functions and notification messages, such as global search, quick entry to a certain page of the application (payment code, WeChat, etc.), instant information and reminders (express delivery information, expenditure information, commute traffic conditions, etc.) , taxi travel information, schedule information, etc.) and follow updates (football stands, basketball stands, stock information, etc.), etc.
  • the control center is the slide-up message notification bar of the electronic device, that is, the user interface displayed by the electronic device when the user starts to slide upward on the bottom of the electronic device.
  • the notification center is the drop-down message notification bar of the electronic device, that is, the user interface displayed by the electronic device when the user starts to perform downward operations on the top of the electronic device.
  • the application framework layer provides an application programming interface (API) and programming framework for applications in the application layer.
  • API application programming interface
  • the application framework layer includes some predefined functions.
  • the application framework layer can include a window manager, content provider, view system, phone manager, resource manager, notification manager, etc.
  • the window manager is used to manage window programs, such as managing window status, attributes, view addition, deletion, update, window order, message collection and processing, etc.
  • the window manager can obtain Display size, determine whether there is a status bar, lock the screen, capture the screen, etc.
  • the window manager is the entrance for the outside world to access the window.
  • Content providers are used to store and retrieve data and make this data accessible to applications.
  • Said data can include videos, images, audio, calls made and received, browsing history and bookmarks, phone books, etc.
  • the view system includes visual controls, such as controls that display text, controls that display pictures, etc.
  • a view system can be used to build applications.
  • the display interface can be composed of one or more views.
  • a display interface including a text message notification icon may include a view for displaying text and a view for displaying pictures.
  • the phone manager is used to provide communication functions of the electronic device 100 .
  • call status management including connected, hung up, etc.
  • the resource manager provides various resources to the application, such as localized strings, icons, pictures, user interface layout files (layout xml), video files, fonts, colors, user interface components (user interface module, UI component) identity document (ID) (also known as serial number or account number), etc. Furthermore, the resource manager is used to uniformly manage the aforementioned resources.
  • the notification manager allows applications to display notification information in the status bar, which can be used to convey notification-type messages and can automatically disappear after a short stay without user interaction.
  • the notification manager is used to notify download completion, message reminders, etc.
  • the notification manager can also be notifications that appear in the status bar at the top of the system in the form of charts or scroll bar text, such as notifications for applications running in the background, or notifications that appear on the screen in the form of conversation windows. For example, text information is prompted in the status bar, a beep sounds, the electronic device vibrates, the indicator light flashes, etc.
  • the Android runtime includes core libraries and a virtual machine.
  • the Android runtime is responsible for the scheduling and management of the Android system.
  • the core library contains two parts: one part is the functional functions that need to be called by the Java language, and the other part is the core library of the Android system.
  • the application layer and application framework layer run in virtual machines.
  • the virtual machine executes the java files of the application layer and application framework layer into binary files.
  • the virtual machine is used to perform object life cycle management, stack management, thread management, security and exception management, and garbage collection and other functions.
  • System libraries can include multiple functional modules. For example: surface manager (surface manager), media libraries (media libraries), 3D graphics processing libraries (for example: OpenGLES), 2D graphics engines (for example: SGL) and image processing libraries, etc.
  • surface manager surface manager
  • media libraries media libraries
  • 3D graphics processing libraries for example: OpenGLES
  • 2D graphics engines for example: SGL
  • image processing libraries etc.
  • the surface manager is used to manage the display subsystem and provides the fusion of 2D and 3D layers for multiple applications.
  • the media library supports playback and recording of a variety of commonly used audio and video formats, as well as static image files, etc.
  • the media library can support a variety of audio and video encoding formats, such as: MPEG4, H.264, MP3, AAC, AMR, JPG, PNG, etc.
  • the 3D graphics processing library is used to implement 3D graphics drawing, image rendering, composition and layer processing.
  • 2D Graphics Engine is a drawing engine for 2D drawing.
  • the kernel layer is the layer between hardware and software.
  • the kernel layer contains at least display driver, camera driver, audio driver, and sensor driver.
  • the following exemplifies the workflow of the software and hardware of the electronic device 100 in conjunction with the scenario of using a smart speaker to play sound.
  • the corresponding hardware interrupt is sent to the kernel layer.
  • the kernel layer will The touch operation is processed into the original input event (including touch coordinates, timestamp of the touch operation and other information). Raw input events are stored in the kernel layer.
  • the application framework layer obtains the original input event from the kernel layer and identifies the control corresponding to the input event. Taking the touch operation as a touch click operation and the control corresponding to the click operation as a smart speaker icon control as an example, the smart speaker application calls the interface of the application framework layer to start the smart speaker application, and then starts the audio driver by calling the kernel layer. , converting the audio electrical signal into a sound signal through the speaker 170A.
  • the structure illustrated in this application does not constitute a specific limitation on the electronic device 100 .
  • the electronic device 100 may include more or fewer components than illustrated, some components may be combined, some components may be separated, or components may be arranged differently.
  • the components illustrated may be implemented in hardware, software, or a combination of software and hardware.
  • this application provides an electronic device, including: a memory and a processor; the memory is used to store program instructions; and the processor is used to call the program instructions in the memory so that the electronic device executes the method in the previous embodiment.
  • this application provides a chip system, which is applied to electronic devices including memory, display screens, and sensors; the chip system includes: a processor; when the processor executes computer instructions stored in the memory, the electronic device executes the foregoing Methods in Examples.
  • the present application provides a computer-readable storage medium on which a computer program is stored.
  • the computer program is executed by a processor so that the electronic device implements the method in the foregoing embodiments.
  • this application provides a computer program product, including: execution instructions, the execution instructions are stored in a readable storage medium, and at least one processor of the electronic device can read the execution instructions from the readable storage medium, and the at least one processor Executing the execution instructions causes the electronic device to implement the methods in the previous embodiments.
  • all or part of the functions may be implemented by software, hardware, or a combination of software and hardware.
  • software When implemented using software, it may be implemented in whole or in part in the form of a computer program product.
  • the computer program product includes one or more computer instructions.
  • the computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable device.
  • the computer instructions may be stored in a computer-readable storage medium.
  • the computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more available media integrated.
  • the available media may be magnetic media (eg, floppy disk, hard disk, magnetic tape), optical media (eg, DVD), or semiconductor media (eg, solid state disk (SSD)), etc.

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Abstract

本申请提供一种应用推荐方法和电子设备。该方法包括：在第一界面中显示第一应用的描述信息和应用推荐列表，第一应用的描述信息包括第一应用相关的图像和文本，第一应用的应用推荐列表包括与第一应用相关的第二应用；接收在第一应用的应用推荐列表中针对于第二应用的第一操作；响应于第一操作，在第一界面上显示第一图像，第一图像为第二应用的描述信息中的第二应用相关的图像，第二应用的描述信息包括第二应用相关的图像和文本，第一图像为基于第二应用的描述信息与第一应用的描述信息确定的。从而，图像展示了第二应用与第一应用的差异性，降低了图像展示素材的成本。

Description

应用推荐方法和电子设备
本申请要求于2022年03月25日提交国家知识产权局、申请号为202210307768.8、申请名称为“应用推荐方法和电子设备”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及电子技术领域，尤其涉及一种应用推荐方法和电子设备。
背景技术
随着互联网技术的不断发展和电子设备的性能提升，市面上涌入各式各样的应用程序(application，APP)。应用程序的种类繁多且功能复杂，在给用户提供生活和学习上的方便的同时，也给用户在选择上带来了一定的困难。
目前，相关技术中，电子设备常常依据应用程序的特征信息以及用户的行为信息(如评价信息和/或下载量)，在一个应用程序的详情页面中，推荐与该应用程序相关的多个应用程序(如类型相同、功能相似或业务相关的应用程序)，有助于用户能够快速找到感兴趣的应用程序。
然而，相关技术无法直观地反映推荐的应用程序的特点，需要用户逐个查看才能找到自己感兴趣的应用程序，浪费了用户较多的时间，降低了用户找到感兴趣的应用程序的探究欲，导致应用程序的推荐效果不佳。
发明内容
本申请提供一种应用推荐方法和电子设备，以解决相关技术由于无法直观地反映推荐的应用程序的特点，需要用户花费大量时间找到自己感兴趣的应用程序，找到感兴趣的应用程序的探究欲而导致应用程序的推荐效果不佳的问题，借助图文结合/图像的方式实现了应用程序的推荐，提升了应用推荐的用户体验。
第一方面，本申请提供一种应用推荐方法，应用于电子设备。
该方法包括：
在第一界面中显示第一应用的描述信息和应用推荐列表，第一应用的描述信息包括第一应用相关的图像和文本，第一应用的应用推荐列表包括与第一应用相关的第二应用；
接收在第一应用的应用推荐列表中针对于第二应用的第一操作；
响应于第一操作，在第一界面上显示第一图像，其中，第一图像为第二应用的描述信息中的第二应用相关的图像，第二应用的描述信息包括第二应用相关的图像和文本，第一图像为基于第二应用的描述信息与第一应用的描述信息确定的。
通过第一方面提供的应用推荐方法，电子设备在推荐与第一应用相关的第二应用时，通过图像的方式，可展示第二应用与第一应用之间的差异性，方便用户进行准确 区分和快速选择，提升了应用推荐的用户体验，增加了应用推荐的转化率，还无需通过人工配置来获取图像的展示素材，避免了应用推荐的额外成本。
另外，还可准确地推荐与第一应用相关的第二应用，提升了应用推荐的相关性，降低了推荐与第一应用无关的应用的几率，有利于吸引用户查看或下载第二应用，增加了推荐的第二应用的点击率和下载量，给用户带来了更佳的推荐体验。
在一种可能的设计中，第一图像为基于第二应用的描述信息与第一应用的描述信息确定的包括：第一图像为第二应用相关的图像和第一应用相关的图像相比差异化最大的图像。
在一种可能的设计中，该方法包括：
响应于第一操作，在第一界面上还显示第一文本，第一文本用于表示第二应用的特点。
由此，电子设备在推荐与第一应用相关的第二应用时，通过图文结合的方式，不仅展示了第二应用与第一应用之间的差异性，方便用户进行准确区分和快速选择，还有利于突出第二应用的特点和优势，使得用户能够快速对第二应用进行充分了解，增加用户下载第二应用的兴趣，且无需通过人工配置来获取图文结合的展示素材，避免了应用推荐的额外成本。
在一种可能的设计中，第一文本置于第一图像中。
由此，更加合理地通过图文结合的方式展示第二应用与第一应用之间的差异性，以及展示第二应用的特点和优势。
在一种可能的设计中，第一文本的覆盖位置、字体颜色和字体字号是基于第一图像确定的。
由此，基于自适应地调整第一文本在第一图像中的覆盖位置、字体颜色、字体字号等参数，确保了第一图像和第一文本更佳的展示效果。
在一种可能的设计中，第一文本包括以下文本中的至少一项：
由第二应用的开发者提供的文本，第二应用相关的文本，或者第二应用相关的图像中的文本。
由此，为第一文本提供了多种来源，丰富了第一文本的具体实现。
在一种可能的设计中，该方法还包括：
在第二界面中显示第三应用的描述信息和应用推荐列表，第三应用的描述信息包括第三应用相关的图像和文本，第三应用的应用推荐列表包括第二应用；
接收在第三应用的应用推荐列表中针对于第二应用的第二操作；
响应于第二操作，在第二界面上显示第二图像，其中，第二图像为第二应用的描述信息中的第二应用相关的图像，第二图像为基于第二应用的描述信息与第三应用的描述信息确定的，第二图像与第一图像不同。
由此，可在不同应用的应用推荐列表中对同一个应用进行推荐，还可在不同应用的详情页面中展示该应用的不同的图像。
在一种可能的设计中，第三应用与第一应用为不同的类型。
在一种可能的设计中，该方法包括：
响应于第一操作，在第一界面上还显示触发控件，触发控件用于触发安装或更新 第二应用；
接收针对于触发控件的第三操作；
响应于第三操作，在电子设备中安装或更新第二应用。
由此，在展示图像，或图像和文本的基础上，还可向用户提供安装或更新第二应用的触发控件，方便用户在电子设备中快速实现对第二应用的安装或更新。此外，在第二应用已安装且无需更新时，触发控件还用于触发显示第二应用的详情页面。
在一种可能的设计中，触发控件置于第一图像中。
由此，触发控件可自适应地嵌于第一图像中，提升了第一图像的展示效果。
在一种可能的设计中，响应于第一操作，在第一界面上显示第一图像，包括：
响应于第一操作，向服务器发送第一请求；
从服务器接收第一响应，第一响应中携带有第一图像；
在第一界面上的部分区域显示的第一图像。
由此，电子设备通过与服务器的交互，可从服务器获取到第一图像。从而，电子设备可在推荐第二应用的同时，展示第二应用与第一应用之间的差异化最大的第一图像。
在一种可能的设计中，该方法还包括：
接收在第一图像中的第四操作；
响应于第四操作，在第三界面中显示第二应用的描述信息和应用推荐列表。
由此，为展示第二应用的详情页面提供了一种新的方式。
在一种可能的设计中，该方法还包括：
接收在第一应用的应用推荐列表中针对于第二应用的第五操作，第五操作与第一操作不同；
响应于第五操作，在第五界面中显示第二应用的描述信息和应用推荐列表。
由此，兼顾了展示第二应用的详情页面的方式。
在一种可能的设计中，第一界面为应用市场的一个用户界面，第一应用或第二应用为应用市场中提供的一个应用程序。
第二方面，本申请提供一种电子设备，包括：存储器和处理器；存储器用于存储程序指令；处理器用于调用存储器中的程序指令使得电子设备执行第一方面及第一方面任一种可能的设计中的应用推荐方法。
第三方面，本申请提供一种芯片***，芯片***应用于包括存储器、显示屏和传感器的电子设备；芯片***包括：处理器；当处理器执行存储器中存储的计算机指令时，电子设备执行第一方面及第一方面任一种可能的设计中的应用推荐方法。
第四方面，本申请提供一种计算机可读存储介质，其上存储有计算机程序，计算机程序被处理器使得电子设备执行时实现第一方面及第一方面任一种可能的设计中的应用推荐方法。
第五方面，本申请提供一种计算机程序产品，包括：执行指令，执行指令存储在可读存储介质中，电子设备的至少一个处理器可以从可读存储介质读取执行指令，至少一个处理器执行执行指令使得电子设备实现第一方面及第一方面任一种可能的设计中的应用推荐方法。
附图说明
图1为本申请一实施例提供的人机交互界面示意图；
图2A-图2E为本申请一实施例提供的人机交互界面示意图；
图3A为本申请一实施例提供的一种通信***的结构示意图；
图3B为本申请一实施例提供的一种电子设备和服务器的软件结构框图；
图4为本申请一实施例提供的一种提取应用的特征的信令交互图；
图5为本申请一实施例提供的一种优化文本特征向量的流程示意图；
图6为本申请一实施例提供的一种差异性检测模块确定应用的差异化图像DF的示意图；
图7A-图7C为本申请一实施例提供的一种应用的差异化信息的示意图；
图8为本申请一实施例提供的一种应用推荐方法的信令交互图；
图9A-图9K为本申请一实施例提供的人机交互界面示意图；
图10为本申请一实施例提供的一种应用推荐方法的流程示意图；
图11为本申请一实施例提供的一种应用推荐方法的流程示意图；
图12为本申请一实施例提供的一种应用推荐方法的流程示意图；
图13为本申请一实施例提供的一种电子设备的结构示意图；
图14为本申请一实施例提供的一种电子设备的软件结构框图。
具体实施方式
本申请中，“至少一个”是指一个或者多个，“多个”是指两个或两个以上。“和/或”，描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B的情况，其中A，B可以是单数或者复数。字符“/”一般表示前后关联对象是一种“或”的关系。“以下至少一项(个)”或其类似表达，是指的这些项中的任意组合，包括单项(个)或复数项(个)的任意组合。例如，单独a，单独b或单独c中的至少一项(个)，可以表示：单独a，单独b，单独c，组合a和b，组合a和c，组合b和c，或组合a、b和c，其中a，b，c可以是单个，也可以是多个。此外，术语“第一”、“第二”仅用于描述目的，而不能理解为指示或暗示相对重要性。术语“中心”、“纵向”、“横向”、“上”、“下”、“左”、“右”、“前”、“后”等指示的方位或位置关系为基于附图所示的方位或位置关系，仅是为了便于描述本申请和简化描述，而不是指示或暗示所指的装置或元件必须具有特定的方位、以特定的方位构造和操作，因此不能理解为对本申请的限制。
本申请提供一种应用推荐方法和电子设备，可在推荐与一个应用程序相关的多个应用程序时，通过图文结合/图像的方式，展示推荐的应用程序与该应用程序之间的差异性，有利于突出推荐的应用程序的特点和优势，方便用户进行准确区分和快速选择，提升了应用推荐的用户体验，增加了应用推荐的转化率，还无需通过人工配置来获取图文结合/图像的展示素材，避免了应用推荐的额外成本。
另外，还可准确地推荐与一个应用程序相关的多个应用程序，提升了应用推荐的相关性，降低了推荐与一个应用程序无关的多个应用程序的几率，有利于吸引用户查 看或下载推荐的应用程序，增加了推荐的应用程序的点击率和下载量，给用户带来了更佳的推荐体验。
其中，本申请提供的应用推荐方法可适用于各种为用户推荐应用程序的场景。
为了便于说明，本申请采用电子设备在应用市场显示任意一个应用程序(可称为应用1)的详情页面时，能够为用户推荐与应用1相关的至少一个应用程序(为了便于说明，以应用2进行举例说明)，以及还能够为用户显示应用2与应用1之间的差异化信息的场景进行举例说明。
其中，本申请对应用1、应用1的详情页面、应用2以及应用2与应用1之间的差异化信息的具体实现方式不做限定。需要说明的是，本申请对电子设备是否已安装应用1或应用2不做限定。
在一些实施例中，应用1的详情页面可以包括：应用1的描述信息。
其中，本申请对应用1的描述信息的具体实现方式不做限定。例如，应用1的描述信息可包括但不限于：应用1的如名称、图标、功能介绍、版本号、开发者、开发时间、特点描述、各种说明、功能界面、下载量、评价信息等，其可采用如文本和/或图像等方式进行显示。
在一些实施例中，应用1的描述信息可以来源于：应用1的开发者提供的应用1的文本信息和应用1的图像信息，以及用户行为数据的日志信息。
其中，应用1的文本信息用于概括性地描述应用1的文本特点，如应用1的标题文字、名称、描述文本、功能说明等。应用1的图像信息用于描述应用1的界面特点，如应用1的图像(如图片或视频动画)。
另外，应用1的描述信息还可包括：从互联网语料中挖掘到的与应用1相关的描述信息。其中，本申请对互联网语料的具体实现方式不做限定。
其中，用户行为数据的日志信息，用于描述在获取不同用户查看应用1的详情页面的请求时，产生的应用1的下载行为的情况。
在一些实施例中，用户行为数据的日志信息可以包括：应用1的下载量。
另外，用户行为数据的日志信息，还用于描述用户对应用1的评价行为的情况。
在另一些实施例中，用户行为数据的日志信息可以包括：应用1的下载量以及应用1的评价信息、评分大小和评分人数。
此外，应用1的详情页面还可包括：应用1的应用推荐列表。
其中，应用1的应用推荐列表中的每个应用程序均与应用1相关，如类型相同、功能相似或业务相关。本申请对应用1的应用推荐列表中的应用程序的具体实现方式不做限定。
在一些实施例中，应用1的应用推荐列表可以包括：应用2。对应地，在应用1的应用推荐列表中显示有应用2的如图标、名称和图像(如图片或视频动画)等描述信息。
例如，应用2与应用1可为不同版本的应用程序，即应用2与应用1类型相同。应用2与应用1均为聊天类型的应用程序，即应用2与应用1功能相似。应用2可为应用1在进行某个功能/业务时需要调用的应用程序，即应用2与应用1业务相关。
其中，应用2与应用1之间的差异化信息用于表明应用1与应用2之间的差异(即 不同)，能够突出应用2的特点和优势，其差异化信息可采用如图像，或者，文本和图像等方式进行表示。
在一些实施例中，应用2与应用1之间的差异化信息可以包括：应用2的差异化图像DF和应用2的差异化文本DT。或者，应用2与应用1之间的差异化信息可以包括：应用2的差异化图像DF。
其中，应用2的差异化图像DF来源于应用2的开发者所提供的应用2的图像信息。
例如，应用2的差异化图像DF可为基于应用1的描述信息与应用2的描述信息，从应用2的图像信息中选择出应用2与应用1之间的差异性最大的图像。应用2的差异化文本DT用于描述应用2的特点与优势。
其中，应用2的差异化文本DT可为应用2的开发者提供的文本，也可为服务器基于应用1的描述信息和应用2的描述信息确定出来的文本。前述提及的应用2的文本信息可参见前文提及的应用1的文本信息的描述，此处不做赘述。
下面，结合图1，详细介绍应用2的描述信息的具体实现方式。
请参阅图1，图1为本申请一实施例提供的人机交互界面示意图。
为了便于说明，图1中，应用2为XX健康运动应用为例进行示意。
如图1所示，应用2的开发者可通过该界面，向应用市场传输应用2的名称、应用2的图标、应用2的文本T31、应用2的详细介绍T30、应用2的更新介绍、应用2的图像F21、应用2的图像F22和应用2的图像F23等描述信息。
基于上述描述，结合图2A-图2E，详细介绍上述提及的电子设备在应用市场显示应用1的详情页面时，能够为用户推荐应用2，以及还能够为用户显示应用2与应用1之间的差异化信息的场景的具体实现过程。
请参阅图2A-图2E，图2A-图2E示出了本申请一实施例提供的人机交互界面示意图。
为了便于说明，图2A-图2E中，以电子设备为手机，且手机中安装有应用市场为例进行示意。
手机可显示图2A示例性所示的用户界面11，其中，用户界面11为应用市场的一个界面，用户界面11用于显示应用1的详情页面。
图2A中，用户界面11可以包括：区域101、区域102、区域103和区域104。
其中，区域101、区域102和区域103用于显示应用1的描述信息。区域104用于显示应用1的应用推荐列表。
其中，本申请对区域101、区域102、区域103和区域104的如位置、大小、形状、布局、颜色等显示参数不做限定。
此外，除了区域101、区域102、区域103和区域104之外，用户界面11还可用于提供应用1的如安装或更新应用1、分享应用1、查看应用1的评论信息等其他功能或业务的入口。
例如，在手机未安装应用1时，用户界面11可用于提供安装应用1的入口。在手机已安装非最新版本的应用1时，用户界面11可用于提供更新应用1的入口。在手机已安装最新版本的应用1时，用户界面11可用于提供启动应用1的入口。
区域101，用于显示应用1的如图标、名称、应用说明等描述信息。
区域102，用于显示应用1的如功能界面、评价信息、推荐说明等描述信息。
其中，区域102中可以包括：应用1的图像F11、图像F12和图像F13。前述提及的任意一个图像可为图片或视频。
另外，任意一个图像的画面中可不包括文本，如应用1的图像F12，也可包括文本，如应用1的图像F11中的标题文字T11以及应用1的图像F13中的标题文字T13。本申请对前述的任意一个标题文字在对应的图像中的如位置、字号、颜色等参数不做限定。
区域103，用于显示应用1的如功能介绍、版本号、开发者、开发时间、其他说明、下载量等描述信息。
区域104，用于显示应用1的应用推荐列表，如应用2，提供安装或更新应用2的入口，提供启动应用2的入口，提供显示应用2的详情页面和应用2的差异化信息的入口。
其中，区域104中可以包括：区域1041和控件1042。本申请对区域1041和控件1042的如位置、大小、形状、布局、颜色等显示参数不做限定。
区域1041，用于显示应用2的如图标和名称等描述信息，以及提供显示应用2的详情页面和差异化信息的入口。
控件1042，用于提供在手机中安装或更新应用2的入口。
需要说明的是，在手机未安装应用2时，控件1042可用于提供安装应用2的入口。在手机已安装非最新版本的应用2时，控件1042可用于提供更新应用2的入口。在手机已安装最新版本的应用2时，控件1042可用于提供启动应用2的入口。
考虑到手机的屏幕大小和界面布局等因素的限制，手机可在图2A所示的用户界面11中显示应用1的全部图像或部分图像。
在一些实施例中，手机可在图2A所示的区域102中显示应用1的部分图像，如应用1的图像F11、图像F12和部分的图像F13。手机在检测到用户在区域102中指示查看应用1的其余图像的操作(如在区域102中进行滑动操作)，可在区域102中显示应用1的其余图像，如应用1的图像F13。
手机在检测到用户在图2A所示的区域1041中指示查看应用2的差异化信息的操作21(如在区域1041上执行长按操作)后，可在用户界面11中显示图2B-图2E中任意一个图示例性所示的窗口12，其中，窗口12用于显示应用2与应用1之间的差异化信息。
图2B-图2C中，窗口12可以包括：应用2的差异化图像DF和应用2的差异化文本DT。图2D-图2E中，窗口12可以包括：应用2的差异化图像DF。
图2B中，应用2的差异化图像DF可填充于窗口12的全部区域，应用2的差异化文本DT可显示于窗口12中的区域201，使得应用2的差异化文本DT置于应用2的差异化图像DF中。
图2C中，应用2的差异化图像DF可填充于窗口12的部分区域，应用2的差异化文本DT可显示于窗口12中的区域201，使得应用2的差异化文本DT置于应用2的差异化图像DF中。
图2D中，应用2的差异化图像DF可填充于窗口12的全部区域。
图2E中，应用2的差异化图像DF可填充于窗口12的部分区域。
手机在检测到用户在区域104或窗口12中指示查看应用2的详情页面的操作22(如在区域1041或窗口12上进行点击操作)后，可显示应用2的详情页面。
另外，窗口12还用于提供安装或更新应用2的入口，如在图2B-图2E中，窗口12还可包括：控件202，控件202用于提供在手机中安装或更新应用2的入口。
其中，本申请对控件202在窗口12中的如位置、大小、颜色、形状等显示参数不做限定。
例如，图2B和图2D中，控件202置于差异化图像DF中。图2C和图2E中，控件202置于窗口12中的除了显示差异化图像DF之外的区域。
手机在检测到用户在区域104或窗口12中指示安装或更新应用2的操作23(如在控件1042或控件202上进行点击操作)后，可下载应用2的安装包/补丁包，并在手机中实现应用2的安装或更新。
综上，电子设备在显示应用1的详情页面时，可向用户推荐应用2，还可通过图文结合/图像的方式，向用户展示应用2与应用1之间的差异性，使得用户能够快速对应用2的特点和优势进行充分了解，增加用户下载应用2的兴趣。
下面，结合附图，详细介绍本申请的应用推荐方法的具体实现方式。
请参阅图3A，图3A示出了本申请一实施例提供的一种通信***的结构示意图。
如图3A所示，本申请提供的通信***10可以包括：电子设备110和服务器210。
电子设备110，用于运行各式各样的应用程序，以及向服务器210发起不同类型的请求，并从服务器210获取与不同类型的请求对应的响应。
在一些实施例中，电子设备110可运行应用市场。
其中，应用市场可用于响应于针对于查看应用1的详情页面的操作1，向服务器210发送用于查看应用1的详情页面的请求1，还可用于从服务器210接收应用1的应用推荐列表，并在应用1的详情页面中呈现应用1的描述信息和应用1的应用推荐列表。
其中，本申请提及的操作1不仅可触发在应用1的详情页面中显示应用1的描述信息，还可触发在应用1的详情页面中显示应用1的应用推荐列表。本申请提及的操作1可包括在应用1的如图标、名称和图像(如图片或视频动画)等描述信息上进行触发的操作，操作1可采用如长按、点击、双击、滑动等类型。
在应用1的应用推荐列表可以包括：应用2时，应用市场还用于响应于针对于在应用1的应用推荐列表中查看应用2的操作21，向服务器210发送用于查看应用2与应用1之间的差异性信息的请求2，还可用于从服务器210接收应用2与应用1之间的差异化信息，并显示应用2与应用1之间的差异化信息。
其中，本申请提及的操作21可触发显示应用2与应用1之间的差异化信息。操作21可包括在应用1的应用推荐列表中的应用2的如图标、名称和图像(如图片或视频动画)等描述信息上进行触发的操作，操作21可采用如长按、点击、双击、滑动等类型。
另外，除了查看应用2的差异化信息之外，应用市场还用于响应于针对于在应用 1的应用推荐列表中查看应用2的详情页面的操作22，向服务器210发送用于查看应用2的详情页面的请求3，还可用于从服务器210接收应用2的应用推荐列表，并在应用2的详情页面中呈现应用2的描述信息和应用2的应用推荐列表。
其中，本申请提及的操作22可触发显示应用2的详情页面。操作22可包括在应用1的应用推荐列表中的应用2的如图标、名称和图像(如图片或视频动画)等描述信息上进行触发的操作，操作22可采用如长按、点击、双击、滑动等类型。
并且，操作21与操作22的类型不同。例如，操作21为长按操作，操作22为点击操作。从而，可优化应用1的详情页面的界面布局，避免占用应用1的详情页面的排版空间。
另外，除了查看应用2的差异化信息和详情页面之外，应用市场还用于响应于针对于在应用1的应用推荐列表中下载应用2的操作23，向服务器210发送用于下载应用2的安装包/补丁包的请求4，还可用于从服务器210接收应用2的安装包/补丁包，或安装包/补丁包的下载地址，并在电子设备110中安装或更新应用2。
其中，本申请提及的操作23还可触发在电子设备110中安装或更新应用2。操作23可包括在应用1的应用推荐列表或应用2的差异化信息中的一个控件上进行触发的操作，操作23可采用如长按、点击、双击、滑动等类型。
其中，电子设备110可以是手机、平板电脑、笔记本电脑、可穿戴设备、车载设备、增强现实(augmented reality，AR)/虚拟现实(virtual reality，VR)设备、超级移动个人计算机(ultra-mobile personal computer，UMPC)、上网本、个人数字助理(personal digital assistant，PDA)、智能电视、智慧屏、高清电视、4K电视、智能音箱、智能投影仪等设备，本申请对电子设备110的具体类型不作任何限制。
服务器210，用于从电子设备110接收各种类型的请求，以及向电子设备110传输与不同类型的请求对应的响应。
在一些实施例中，服务器210可为应用市场的后台服务器。服务器210可用于从应用市场接收用于查看应用1的详情页面的请求1，还可用于响应于该请求1，确定应用1的应用推荐列表，并向应用市场发送应用1的应用推荐列表。其中，应用1的应用推荐列表可以包括：应用2。
服务器210，还用于从应用市场接收用于在应用1的应用推荐列表中查看应用2的差异化信息的请求2，还可用于响应于该请求2，确定应用2与应用1之间的差异化信息，并向应用市场发送应用2与应用1之间的差异化信息。
服务器210，还用于从应用市场接收用于查看应用2的详情页面的请求3，还可用于响应于该请求3，确定应用2的应用推荐列表，并向应用市场发送应用2的应用推荐列表。
服务器210，还用于从应用市场接收用于下载应用2的请求4，还可用于响应于该请求4，确定应用2的安装包/补丁包，或安装包/补丁包的下载地址，并向应用市场发送应用2的安装包/补丁包，或安装包/补丁包的下载地址。
其中，本申请对提及的请求1、请求2、请求3和请求4的具体实现方式不做限定。
其中，服务器210可以是独立的物理服务器，也可以是多个物理服务器构成的服务器集群或者分布式***，还可以是提供云服务、云数据库、云计算、云函数、云存 储、网络服务、云通信、中间件服务、域名服务、安全服务、内容分发网络(content delivery network，CDN)、以及大数据和人工智能平台等基础云计算服务的云服务器。
电子设备110与服务器210可通过有线或无线的通信方式进行直接或间接地连接。其中，有线的通信方式可采用如同轴电缆、光纤、数字用户线(digital subscriber line，DSL)等。无线的通信方式可采用如蓝牙、红外、无线(Wi-Fi)、微波等。
在一些实施例中，网络可作为电子设备110与服务器210之间通信的媒介，可以是广域网或者局域网，又或者是二者的组合。例如，本申请可借助于云技术(cloud technology)实现，云技术是指在广域网或局域网内将硬件、软件、网络等系列资源统一起来，实现数据的计算、储存、处理和共享的一种托管技术。
下面，结合图3B，详细介绍电子设备110和服务器210实现本申请的应用推荐方法的***结构图。
请参阅图3B，图3B示出了图3A所示的通信***中的电子设备110和服务器210的软件结构框图。
如图3B所示，本申请提供的服务器210可以包括：数据获取模块211、特征提取模块212、相关性计算模块213和差异性检测模块214，电子设备110可以包括：应用推荐模块111和差异化展示模块112。
数据获取模块211，用于在接收到电子设备110发送的用于查看应用1的详情页面的请求1后，可获取包括应用1在内的全部应用程序的描述信息，即应用1的描述信息以及除了应用1之外的其余的每个应用程序的描述信息，此处涉及的每个应用程序的描述信息可参见前文提及的应用1的描述信息的描述，此处不做赘述。
从而，数据获取模块211可为特征提取模块212提供包括应用1在内的全部应用程序的描述信息。
特征提取模块212，用于针对包括应用1在内的任意一个应用程序而言，根据该应用程序的描述信息，提取该应用程序的特征，如根据应用1的描述信息，提取应用1的特征，又如根据其余的每个应用程序的描述信息，提取其余的每个应用程序的特征。
从而，特征提取模块212可将提取到的包括应用1在内的全部应用程序的特征分别输入到相关性计算模块213和差异性检测模块214中。
下面，结合图4，详细介绍特征提取模块212提取任意一个应用程序的特征的具体实现过程。为了便于说明，图4中，任意一个应用程序的特征以应用1的特征为例进行示意。
本申请中，特征提取模块212可以包括：分类子网络模块2121、关键词标签子网络模块A 2122、关键词标签子网络模块B 2123、文本子网络模块2124、多模态文本融合模块2125、预训练语义子网络模块2126、图像子网络模块2127以及多模态特征融合模块2128。
基于上述提及的特征提取模块212中的各个软件模块，结合图4，详细介绍特征提取模块212中的各个软件模块提取应用1的特征的具体实现过程。
请参阅图4，图4示出了特征提取模块212中的各个软件模块提取应用1的特征的信令交互图。
如图4所示，特征提取模块212中的各个软件模块提取应用1的特征的实现过程可以包括：
S111、分类子网络模块2121对应用1的文本信息进行分类预测，得到应用1的分类特征。
S112、分类子网络模块2121向多模态文本融合模块2125传输应用1的分类特征。
分类子网络模块2121，用于对应用1的文本信息进行分类预测，并向多模态文本融合模块2125传输应用1的分类特征。
其中，应用1的分类特征用于确定应用1的类型。本申请提及的一个应用程序的类型可按照粗粒度或细粒度进行划分，本申请对此不做限定。
例如，按照粗粒度的划分方式，应用1的类型可为游戏类。按照细粒度的划分方式，应用1的类型可为游戏类中的益智类。
又如，按照粗粒度的划分方式，应用1和应用2的类型可为运动健康类。按照细粒度的划分方式，应用1的类型可为运动健康类中的记录类，应用2的类型可为运动健康类中的运动类或健康类。
在一些实施例中，分类子网络模块2121属于有监督类型的，具体用于对应用1的文本信息通过有监督子网络模型进行分类预测，其中，有监督子网络模型的分类标签是通过人工标注得到的。
S121、关键词标签子网络模块A 2122对应用1的文本信息进行关键词的标签预测，得到应用1的关键词标签特征1。其中，应用1的关键词标签特征1可为一个或多个，本申请对应用1的关键词标签特征1的具体数量不做限定。
S122、关键词标签子网络模块A 2122向多模态文本融合模块2125传输应用1的关键词标签特征1。
关键词标签子网络模块A 2122，用于对应用1的文本信息进行关键词的标签预测，并向多模态文本融合模块2125传输应用1的关键词标签特征。
其中，应用1的关键词标签特征1用于表示应用1在文本描述角度上的特点。
例如，在应用1为自拍应用时，基于对应用1的文本信息的分析，应用1的关键词标签特征1可包括：美颜、自拍和图片编辑等。
在一些实施例中，关键词标签子网络模块A 2122属于有监督类型的，具体用于对应用1的文本信息通过有监督子网络模型进行标签预测，其中，有监督子网络模型的标签是通过人工标注得到的。
S131、关键词标签子网络模块B 2123对互联网语料中挖掘到的与应用1相关的描述信息进行关键词的标签预测，得到应用1的关键词标签特征2。其中，应用1的关键词标签特征2可为一个或多个，本申请对应用1的关键词标签特征2的具体数量不做限定。
S132、关键词标签子网络模块B 2123向多模态文本融合模块2125传输应用1的关键词标签特征2。
关键词标签子网络模块B 2123，用于对互联网语料中挖掘到的与应用1相关的描述信息进行关键词的标签预测，并向多模态文本融合模块2125传输应用1的关键词标签特征。
其中，应用1的关键词标签特征2用于丰富/补充应用1在文本描述角度上的特点。
例如，在应用1为自拍应用时，基于对关于应用1的互联网语料的分析，应用1的关键词标签特征2可包括：美颜、自拍、拼图和图片编辑等。
在一些实施例中，关键词标签子网络模块B 2123属于无监督类型的，具体用于对互联网语料中挖掘到的与应用1相关的描述信息通过无监督的方式统计词频得到的。
S141、文本子网络模块2124对应用1的图像信息进行文字识别，得到应用1的关键词标签特征3。
其中，应用1的关键词标签特征3可为一个或多个，本申请对应用1的关键词标签特征3的具体数量不做限定。
S142、文本子网络模块2124向多模态文本融合模块2125传输应用1的关键词标签特征3。
文本子网络模块2124，用于采用如光学字符识别(optical character recognition，OCR)的技术，对应用1的图像信息进行文字识别，并向多模态文本融合模块2125传输应用1的关键词标签特征3。
其中，应用1的关键词标签特征3用于表示应用1在图像描述角度的文本部分上的特点。
例如，在应用1为自拍应用时，基于对应用1的图像信息中的文字“贴图”的分析，应用1的关键词标签特征3可包括：贴图和图片编辑等。
需要说明的是，上述S111、S121、S131和S141之间没有时序上的先后顺序，且S111、S121、S131和S141可以同时执行，也可以顺序执行。
S151、多模态文本融合模块2125将应用1的分类特征、应用1的关键词标签特征1、应用1的关键词标签特征2以及应用1的关键词标签特征3统一成应用1的文本特征向量。
S152、多模态文本融合模块2125向预训练语义子网络模块2126传输应用1的文本特征向量。
多模态文本融合模块2125，用于将应用1的分类特征和应用1的关键词标签特征统一成应用1的文本特征向量，并向预训练语义子网络模块2126传输应用1的文本特征向量。
其中，应用1的文本特征向量用于表示应用1在文本描述角度上的综合特点。应用1的文本特征向量可采用如矩阵、数学符号等形式进行向量化表示。
S16、预训练语义子网络模块2126向多模态特征融合模块2128传输应用1的文本特征向量。
S171、图像子网络模块2127对应用1的图像信息进行特征提取，得到应用1的图像特征向量。其中，应用1的图像特征向量用于表示应用1在图像描述角度的图像部分上的特点。
S172、图像子网络模块2127向多模态特征融合模块2128传输应用1的图像特征向量。
图像子网络模块2127，用于对应用1的图像信息进行特征提取，并向多模态特征融合模块2128传输应用1的图像特征向量。
其中，应用1的图像特征向量用于表示应用1在图像描述角度的图像部分上的特点。应用1的图像特征向量可采用如矩阵、数学符号等形式进行向量化表示。
在一些实施例中，图像子网络模块2127属于无监督类型的，具体用于对应用1的图像信息进行无监督的风格内容等特征的提取。
其中，图像子网络模块2127可将应用1的图像信息输入到神经网络模型，通过训练该神经网络模型，获取应用1的图像信息在该神经网络模型中的权重，并可从该神经网络模型的中间层提取应用1的图像特征向量。
需要说明的是，应用1的关键词标签特征3与应用1的图像特征向量，均是从应用1的图像信息中获取到的，可表示出应用1的图像信息的两种模态，即同一信息的两种模态。
另外，上述S16和S172之间没有时序上的先后顺序，且S16和S172可以同时执行，也可以顺序执行。
S18、多模态特征融合模块2128将应用1的文本特征向量和应用1的图像特征向量输入到多模态网络模型中进行训练，并通过推理获得应用1的多模态融合特征向量。
其中，应用1的多模态融合特征向量用于表示应用1在文本描述角度和图像描述角度上的融合特点。应用1的多模态融合特征向量可采用如矩阵、数学符号等形式进行向量化表示。
S191、多模态特征融合模块2128向相关性计算模块213传输应用1的文本特征向量。
S192、多模态特征融合模块2128向差异性检测模块214传输应用1的多模态融合特征向量。
在一个具体的实施例中，应用1为华为运动健康应用。
其中，应用1的文本信息可以包括：华为运动健康应用为你提供专业的运动记录与减脂塑形等训练课程，结合科学睡眠及健康服务，让你跑得更快更远，变得更健康，以及如下内容：
1、配合华为/荣耀智能穿戴设备，准确监测不同睡眠阶段(浅睡、深睡、快速眼动和清醒)，提供科学的睡眠质量评估和改善建议，助你睡的更香。
2、摆脱时间地点与器械的限制，随时随地徒手健身精心设计“减脂塑形、跑步热身、办公室拉伸”等训练课程，你“口袋”中的健身教练。
3、走路、跑步、骑行运动记录精准低功耗计步，跑步轨迹、心率、步频、配速等运动数据一目了然。
4、跑步训练计划支持5公里到全马的在线训练计划，不管你是新手还是马拉松老将，都可以跑得比以往更快更远更安全。
5、血压、血糖、体重等健康指标管理国内外知名智能健康配件数据接入，帮你记录并多维度跟踪你的健康状况。
6、数据共享支持计步数据共享到微信运动、QQ运动、支付宝运动等第三方平台。
7、丰富的线上活动和运动健康知识多彩的走路、跑步活动，让运动更有乐趣，还有惊喜大礼。精选运动健康资讯，帮你合理科学运动，拥有更多健康。
8、与华为穿戴应用数据整合，提供更完整、统一的运动健康服务。
互联网语料中挖掘到的与应用1相关的描述信息可以包括如下内容：
1、三方应用通过端侧JAVA接口接入华为运动健康平台测试用例v1.0；三方服务通过端侧JS接口接入华为运动健康平台测试用例v1.0；...。
2、华为运动健康应用(手机计步器)是一款为用户提供24小时的运动记录和健康服务。各种丰富的报表让用户对运动和健康数据一目了然。智能配件，让用户全面记录身体的各个参数...。
3、运动健康是一款为用户朋友们打造的智能运动设备应用，很多用户朋友们都会佩戴华为智能手表，这款运动健康就是连接华为手表的智能应用，通过它用户朋友能够清楚的看到各种运动数据...。
4、华为运动健康4.0.0应用手机版是一款专门为用户提供各种健康运动课程以及运动数据记录的软件,多种记录工具全天监控，能够实时记录用户的生活行走数据、运动量、以及身体消耗指数等等、让用...。
5、俗话说得好，身体是革命的本钱,有一副健康的身体才是能够快乐生活的关键，如何享受健康生活，自律的同时最好还有人能够来帮你管理一切，而运动健康软件正是可以解决...。
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10、现在的人们越来越注重自身的身体的健康的问题了，运动健康类的软件就是帮助用户更好的健身的平台，可以监督用户及时的完成每天的运动量，还会为用户普及很多有关健...。
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13、华为运动健康应用是一款为华为荣耀手机用户出示二十四小时的运动检测和健康服务的移动应用，华为运动健康应用各种各样丰富多彩的数据图表让用户对运动和身心健康数据信息一目了然，热烈...。
14、华为运动健康应用是一款为华为手机用户提供24小时的运动监测和健康服务的移动应用，华为运动健康应用各种丰富的图表让用户对运动和健康数据一目了然，欢迎下载使用...。
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17、华为运动健康应用，非常好用的运动健身计步软件，可以轻松帮助用户记录每天准确的步数，还可以在这里进行运动监测和健康数据管理，同时还可以查看最近的运动数据，可以一目了然，随时随地记...。
18、与华为手环配合使用时，手环还有闹钟提醒、久坐提醒、来电提醒、遥控拍照、防丢提醒、找手机等贴心功能，并且可以分享运动数据到微信、微博、QQ等社交平台...。
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应用1的图像信息可以包括：图2A中的图像F11、图像F12和图像F13。
从而，分类子网络模块2121基于应用1的文本信息，可获得应用1的分类特征可以包括：运动健康。
关键词标签子网络模块A 2122基于应用1的文本信息，可获得应用1的关键词标签特征1可以包括：运动管理、健康管理、智能穿戴、生理指标检测和计步。
关键词标签子网络模块B 2123基于互联网语料中挖掘到的与应用1相关的描述信息，可获得应用1的关键词标签特征2可以包括：华为运动、健康运动、健身和数据。
文本子网络模块2124基于应用1的图像信息，可获得应用1的关键词标签特征3可以包括：全周期、全方位、健康管理、运动体验、减脂计划、饮食管理、精品课程、助眠音乐、智能分析和科学指导。
多模态文本融合模块2125将应用1的分类特征、应用1的关键词标签特征1、应用1的关键词标签特征2以及应用1的关键词标签特征3，可统一成应用1的文本特征向量。
图像子网络模块2127基于应用1的图像信息，可获得应用1的图像特征向量。
多模态特征融合模块2128基于应用1的文本特征向量和应用1的图像特征向量，可获得应用1的多模态融合特征向量[A1，A2，A3]。
可见，特征提取模块212提取到的应用1的特征包括：应用1的文本特征向量和应用1的多模态融合特征向量。
从而，针对其余的每个应用程序而言，特征提取模块212提取到的其余的每个应用程序的特征包括：其余的每个应用程序的文本特征向量和其余的每个应用程序的多模态融合特征向量。例如，应用2的文本特征向量和应用2的多模态融合特征向量[B1，B2，B3]。
综上，特征提取模块212可将提取到的包括应用1在内的全部应用程序的文本特征向量全部输入到相关性计算模块213，且特征提取模块212可将提取到的包括应用1在内的全部应用程序的多模态融合特征向全部输入到差异性检测模块214中。
此外，差异性检测模块214还可从关键词标签子网络模块A 2122中获取包括应用1在内的全部应用程序的关键词标签特征1，从关键词标签子网络模块B 2123获取包括应用1在内的全部应用程序的关键词标签特征2，从文本子网络模块2124获取包括应用1在内的全部应用程序的关键词标签特征3。
相关性计算模块213，用于基于包括应用1在内的全部应用程序的文本特征向量，比对应用1和其余的每个应用程序之间的特征，计算出应用1与其余的每个应用程序之间的相关性，获得应用1的应用推荐列表。
其中，相关性计算模块213可采用比对应用1与其余的每个应用程序的文本特征向量的语义相似度的方式，确定出应用1与其余的每个应用程序之间的相关性，并基于应用1与其余关的每个应用程序之间的相关性的高低，获得应用1的应用推荐列表。
例如，相关性计算模块213可计算两个文本特征向量之间的如余弦距离、欧氏距离、KL距离等，其距离越近则表示相似度越强。
从而，相关性计算模块213可确定应用1与其余的每个应用程序的文本特征向量的语义相似度。
又如，相关性计算模块213还可采用语义相似检索的方式，可确定应用1与其余的每个应用程序的文本特征向量的语义相似度。
从而，相关性计算模块213基于应用1与其余的每个应用程序的文本特征向量的语义相似度，确定其余的全部应用程序的得分，再根据其余的全部应用程序的得分，对其余的全部应用程序进行顺序排序，取得分最高的前N个应用程序作为应用1的应用推荐列表。其中，N为正整数。
另外，相关性计算模块213，还用于结合用户行为数据的日志信息，优化应用1与其余的每个应用程序之间的特征。
从而，相关性计算模块213在计算应用1与其余的每个应用程序的文本特征向量的语义相似度之前，可对其余的每个应用程序的文本特征向量进行优化，有利于优化应用1与其余的每个应用程序的文本特征向量的语义相似度的计算。
下面，结合图5，详细介绍相关性计算模块213优化其余的每个应用程序的文本特征向量的具体实现过程。
请参阅图5，图5示出了图3B所示的相关性计算模块213优化其余的每个应用程序的文本特征向量的流程示意图。
如图5所示，相关性计算模块213优化与其余的每个应用程序的文本特征向量的实现过程可以包括：
S21、对所有的文本特征向量进行无监督聚类，通过交叉熵损失进行优化。
S22、根据用户行为数据的日志信息，得到在同一用于查看应用程序的详情页面的请求下，将高频下载的应用程序确定为正样本，将未下载的应用程序中的部分或全部应用程序确定为负样本，并将正样本和负样本作为一对样本。
S23、将每对样本的两个特征向量同时输入具有相同初始化权重的网络模型的隐藏层中，通过余弦损失进行优化，得到优化后的所有的文本特征向量。
从而，相关性计算模块213可将应用1的应用推荐列表传输给应用推荐模块111。例如，应用1的应用推荐列表可以包括：应用2。
差异性检测模块214，用于基于应用1的多模态融合特征向量与应用1的应用推荐列表中的每个应用程序的多模态融合特征向量，比对应用1与应用1的应用推荐列表中的每个应用程序之间的特征，检测出应用1与应用1的应用推荐列表中的每个应用程序之间的图像的差异性，如差异性最大的图像，获得应用1的应用推荐列表中的每个应用程序的差异化信息，即应用2与应用1之间的差异化信息。
另外，差异性检测模块214，还用于在检测得到应用1与应用1的应用推荐列表中的每个应用程序之间的图像的差异性的基础上，可获得应用1的应用推荐列表中的每个应用程序之间的特点与优势，并基于检测出应用1与应用1的应用推荐列表中的每个应用程序之间的图像的差异性以及应用1的应用推荐列表中的每个应用程序之间的特点与优势，获得应用1的应用推荐列表中的每个应用程序的差异化信息，即应用2与应用1之间的差异化信息。
针对应用1的应用推荐列表中的任意一个应用程序(如应用2)而言，应用2的差异化信息可以包括：应用2的差异化图像DF。或者，应用2的差异化信息可以包括：应用2的差异化图像DF和应用2的差异化文本DT。
其中，本申请对应用2的差异化图像DF的具体实现方式不做限定。
在一些实施例中，差异性检测模块214可采用计算应用2的多模态融合特征向量与应用1的多模态融合特征向量之间的语义相似度。
例如，差异性检测模块214可计算两个多模态融合特征向量之间的如余弦距离、欧氏距离、KL距离等，其距离越远表示差异性越强。
从而，差异性检测模块214可确定应用1与应用1的应用推荐列表中的每个应用程序的多模态融合特征向量的语义相似度。
差异性检测模块214基于上述语义相似度，确定出应用2与应用1之间的图像的差异性，并基于应用2与应用1之间的图像的差异性的高低，得到应用2的差异化图像DF。
例如，差异性检测模块214可将应用2与应用1之间的差异性最大的图像确定为应用2的差异化图像DF。
下面，结合图6，详细介绍差异性检测模块214确定应用2的差异化图像DF的具体实现过程。
请参阅图6，图6示出了图3B所示的差异性检测模块214确定应用2的差异化图像DF的示意图。
基于上述实施例的描述，在应用1为华为运动健康应用，应用2为XX健康运动应用时，多模态特征融合模块2128可获得应用1的多模态融合特征向量[A1，A2，A3]，以及应用2的多模态融合特征向量[B1，B2，B3]。
差异性检测模块214可从多模态特征融合模块2128获得应用1的多模态融合特征向量[A1，A2，A3]，以及应用2的多模态融合特征向量[B1，B2，B3]。
如图6所示，差异性检测模块214可计算应用1的多模态融合特征向量[A1，A2，A3]与应用2的多模态融合特征向量[B1，B2，B3]之间的语义相似度，并基于前述语义相似度，从应用2的图像F21、图像F22和图像F23中选择差异性最大的图像为图像F21。
从而，差异性检测模块214可确定应用2与应用1之间的差异化信息包括：应用2的差异化图像DF(即图像F21)。
另外，图6中还示出了图2A所示的应用1的图像F11、图像F12和图像F13。
在一些实施例中，应用2的差异化图像DF可采用如下公式进行计算：
其中，Diff()是一种应用1与应用2之间的差异化图像DF的计算函数，Map()是一种向量到图像的映射函数，Dis()是一种计算向量间距离的度量函数。Ai是应用1的第n个多模态融合特征向量，i∈[1，2，…，n]，n＝3。Bj是应用2的第m个多模态融合特征向量，j∈[1，2，…，m]，m＝3。
另外，除了应用2的差异化图像DF之外，差异性检测模块214还可将用于描述应用2的特点与优势的文本确定为应用2的差异化文本DT。
从而，差异性检测模块214可将应用2的差异化图像DF作为背景，并在应用2的差异化图像DF中添加应用2的差异化文本DT。
其中，本申请对应用2的差异化文本DT的具体实现方式不做限定。
下面，结合图7A-图7C，详细介绍应用2的差异化文本DT的具体实现方式。
请参阅图7A-图7C，图7A-图7C示出了应用2的差异化信息的示意图。
为了便于说明，图7A-图7C中，以应用1为华为运动健康应用，应用2为XX健康运动应用，且应用2与应用1之间的差异性最大的图像为图像F21进行举例示意。
在一些实施例中，应用2的差异化文本DT可由应用2的开发者提供的文本。
在图1所示的应用2的开发者提供的文本T31包括：文本“健康运动，冠军指导”的情况下，如图7A所示，差异性检测模块214可确定图像F21为应用2的差异化图像DF，可确定文本T31为应用2的差异化文本DT。
从而，差异性检测模块214可确定应用2的差异化信息包括：图像F21和文本T31，其中，文本T31置于图像F21中。
在另一些实施例中，应用2的差异化文本DT可由差异性检测模块214生成的文本。
考虑到应用2与应用1的类型可能相同或不同，且相同类型的应用程序与不同类型的应用程序在文本描述角度上的重点有所不同。因此，差异性检测模块214可采用多种方式生成应用2的差异化文本DT。
在应用2与应用1为相同类型时，差异性检测模块214可更侧重于体现应用2独特的风格或功能。
其中，文本子网络模块2124基于应用2的图像F21、图像F22和图像F23中的文本，可为获得应用2的关键词标签特征3[Locr 1，Locr 2，Locr 3，…，Locr o]，差异性检测模块214可从文本子网络模块2124获得应用2的关键词标签特征3[Locr 1，Locr 2，Locr 3，…，Locr o]，其中o代表关键词标签特征3的个数。差异性检测模块214基于每个关键词标签特征3的权重大小，对应用2的关键词标签特征3按照权重从大到小的顺序进行排序，取预设数量(如3)的关键词标签特征3作为应用2的差异化文本DT。
在预设数量的关键词标签特征3所组成的文本T32包括：文本“冠军课程、专业指导、助眠音乐”的情况下，如图7B所示，差异性检测模块214可确定图像F21为应用2的差异化图像DF，可确定文本T32为应用2的差异化文本DT。
从而，差异性检测模块214可确定应用2的差异化信息包括：图像F21和文本T32，其中，文本T32置于图像F21中。
在应用2与应用1为不同类型时，差异性检测模块214可更侧重于体现应用2的类型和内容。
其中，关键词标签子网络模块A 2122基于图1所示的文本信息T30以及互联网语料中与应用2相关的文本，可获得应用2的关键词标签特征1[Ldes 1，Ldes 2，Ldes 3，…，Ldes p]，差异性检测模块214可从关键词标签子网络模块A 2122获得应用2的关键词标签特征1[Ldes 1，Ldes 2，Ldes 3，…，Ldes p]，其中p代表关键词标签特征1的个数，并可确定应用2的每个关键词标签特征1的权重。
差异性检测模块214可从关键词标签子网络模块B 2123获得应用2的关键词标签特征2[Lnet 1，Lnet 2，Lnet 3，…，Lnet q]，其中q代表关键词标签特征2的个数，并可确定应用2的每个关键词标签特征2的权重大小。
差异性检测模块214可将应用2的关键词标签特征1和关键词标签特征2中重复的关键词标签特征的权重进行求和，得到应用2的关键词标签特征1和关键词标签特征2中的每个不重复的关键词标签特征的权重大小。
差异性检测模块214基于每个不重复的关键词标签特征的权重大小，对应用2的关键词标签特征1和关键词标签特征2中的每个不重复的关键词标签特征按照权重从大到小的顺序进行排序，取预设数量(如3)的关键词标签特征作为应用2的差异化文本DT。
在预设数量的关键词标签特征所组成的文本T33包括：文本“多样运动、课程与指导”的情况下，如图7C所示，差异性检测模块214可确定图像F21为应用2的差异化图像DF，可确定文本T33为应用2的差异化文本DT。
从而，差异性检测模块214可确定应用2的差异化信息包括：图像F21和文本T33，其中，文本T33置于图像F21中。
另外，应用2的差异化文本DT可置于应用2的差异化图像DF中的任意一个覆盖位置。其中，本申请对该覆盖位置不做限定。
在一些实施例中，差异性检测模块214可结合应用2的差异化图像DF的空间和风格，确定该覆盖位置，使得应用2的差异化文本DT与应用2的差异化图像DF相适应。
空间上，考虑到应用2的差异化图像DF上本身的文本(如图像F21中的文本“健康运动”)可能会被应用2的差异化文本DT所遮盖。
基于上述描述，差异性检测模块214可对应用2的差异化图像DF进行文本区域检测，并利用像素分布统计的方式，计算出应用2的差异化图像DF上的像素分布最均匀的空间。
从而，差异性检测模块214将该空间在应用2的差异化图像DF中的位置作为该覆盖位置。
其中，本申请可采用多种方式计算应用2的差异化图像DF上的像素分布最均匀的空间。在一些实施例中，差异性检测模块214可根据应用2的差异化文本DT的字体字号和字体长度，计算应用2的差异化文本DT所占用的像素空间，并利用滑动窗口的方式，统计出应用2的差异化文本DT所占用的像素空间这一大小下，应用2的差异化图像DF上的各个区域的像素均值和像素方差，选取像素方差最小的区域作为该空间。
其中，应用2的差异化文本DT的字体字号可结合应用2的差异化文本DT的字体长度进行自适应性选择和设置。
风格上，考虑到应用2的差异化图像DF作为背景没有绝对均匀的色彩分布，且应用2的差异化文本DT在颜色上与应用2的差异化图像DF的背景色相近会导致展示效果不佳。
基于上述描述，差异性检测模块214可采用背景淡化、背景模糊、背景虚化等的方式，将应用2的差异化图像DF中除该覆盖位置之外的其他区域进行整体的透明度调整，并采用开发者提供的文本颜色自动匹配的方式，统计出该覆盖位置所属区域的像素均值。从而，差异性检测模块214基于该像素均值选择对比度最鲜明的颜色(如白色或者黑色)作为应用2的差异化文本DT的字体颜色。
例如，该覆盖位置所属区域的像素均值更接近白色的像素值为(0，0，0)，则差异性检测模块214可确定应用2的差异化文本DT的字体颜色为黑色，其中黑色的像素值(255，255，255)。
综上，差异性检测模块214可确定应用2的差异化文本DT的如具体内容、在应用2的差异化图像DF中的覆盖位置、字体字号以及字体颜色等各个参数。
从而，更加合理地通过图文结合的方式展示应用2与应用1之间的差异性，基于自适应地调整应用2的差异化文本DT在应用2的差异化图像DF中的覆盖位置、字体颜色、字体字号等参数，使得应用2的差异化图像DF和应用2的差异化文本DT的展示效果更佳。
基于上述描述，差异性检测模块214可将应用1的应用推荐列表中的每个应用程序的差异化信息传输给差异化展示模块112，如应用2与应用1之间的差异化信息。
由此，有利于同一推荐的应用程序在不同应用程序的应用推荐列表中，可基于不同应用程序各自的特点，自适应地显示该推荐的应用程序与不同应用程序之间的差异化信息。
也就是说，在应用1与应用3为不同的应用程序时，如果应用2出现在应用1的应用推荐列表和应用3的应用推荐列表中，那么，应用2与应用1之间的差异化信息自适应于应用1的特点，应用2与应用3之间的差异化信息自适应于应用3的特点，且应用2与应用1之间的差异化信息，以及应用2与应用3之间的差异化信息可能不同，也可能相同。
应用推荐模块111，用于在应用1的详情页面中显示应用1的描述信息和应用1的应用推荐列表，以便基于应用1的应用推荐列表，向用户推荐与应用1相关的应用2。
差异化展示模块112，用于在显示应用1的应用推荐列表的基础上，提供显示应 用2与应用1之间的差异化信息的入口，还用于显示应用2与应用1之间的差异化信息。
其中，差异化展示模块112需要在应用推荐模块111在应用1的详情页面中实现推荐应用2的基础上进一步实现。
在一些实施例中，差异化展示模块112可采用应用2与应用1之间的图像差异性最大的图像，或者，应用2与应用1之间的图像差异性最大的图像和用于描述应用2的特点与优势的文本，来显示应用2与应用1之间的差异化信息。
基于前述描述，本申请以下实施例将以具有图3A和图3B所示结构的电子设备110和服务器210为例，结合附图和应用场景，对本申请提供的应用推荐方法进行详细阐述。
下面，结合图8，详细介绍电子设备110和服务器210实现应用推荐方法的具体实现过程。
请参阅图8，图8示出了本申请一实施例提供的一种应用推荐方法的信令交互图。
如图8所示，本申请提供的应用推荐方法可以包括：
S31、电子设备110在接收到用于查看应用1的详情页面的操作1后，向服务器210发送请求1。
电子设备110在接收到操作1后，可触发电子设备110中的应用推荐模块111。电子设备110中的应用推荐模块111可向服务器210发送请求1，方便从服务器210获得应用1的应用推荐列表。
S32、服务器210在接收到请求1后，确定应用1的应用推荐列表。
服务器210中的数据获取模块211和特征提取模块212获得包括应用1在内的全部应用程序的文本特征向量，服务器210中的相关性计算模块213基于包括应用1在内的全部应用程序的文本特征向量，计算应用1与其余的每个应用程序之间的相关性，获得应用1的应用推荐列表。
S33、服务器210向电子设备110发送应用1的应用推荐列表。
服务器210可将应用1的应用推荐列表传输给电子设备110中的应用推荐模块111。
S34、电子设备110在应用1的详情页面中显示应用1的应用推荐列表，其中，应用1的应用推荐列表包括应用2。
电子设备110中的应用推荐模块111可采用如应用的图标、名称和图像等至少一个方式在应用1的应用推荐列表中推荐应用2。
S35、电子设备110在接收到用于在应用1的应用推荐列表中查看应用2的差异化信息的操作21后，向服务器210发送请求2。
电子设备110在接收到操作21后，可触发电子设备110中的差异化展示模块112。电子设备110中的差异化展示模块112可向服务器210发送请求2，方便从服务器210获得应用2与应用1之间的差异化信息。
需要说明的是，S31和S34对应于图9D-图9E实施例的描述。
S36、服务器210在接收到请求2后，确定应用2与应用1之间的差异化信息。
服务器210中的数据获取模块211和特征提取模块212获得包括应用1的多模态 融合特征向量和应用2的多模态融合特征向量，服务器210中的差异性检测模块214基于应用1的多模态融合特征向量和应用2的多模态融合特征向量，确定应用2与应用1之间的差异性，获得应用2与应用1之间的差异化信息，如应用2的差异化图像DF和应用2的差异化文本DT，或者，应用2的差异化图像DF。
S37、服务器210向电子设备110发送应用2与应用1之间的差异化信息。
服务器210可将应用2与应用1之间的差异化信息传输给电子设备110中的差异化展示模块112。
S38、电子设备110在应用1的详情页面中显示应用2与应用1之间的差异化信息。
电子设备110中的差异化展示模块112在应用1的详情页面中，可采用图文结合/图像的方式，显示应用2与应用1之间的差异化信息，如应用2的差异化图像DF和应用2的差异化文本DT，或者，应用2的差异化图像DF。
需要说明的是，S35和S38对应于图9E-图9J实施例的描述。其中，应用2与应用1之间的差异化信息包括差异应用2的差异化图像DF和应用2的差异化文本DT，如图9F-图9H所示。应用2与应用1之间的差异化信息应用2的差异化图像DF，如图9I-图9J所示。
下面，结合图9A-图9K，详细介绍电子设备110与服务器210实现应用推荐方法的具体实现过程。
请参阅图9A-图9K，图9A-图9K示出了本申请一实施例提供的人机交互界面示意图。
为了便于说明，图9A-图9K中，应用1为华为运动健康应用，应用2为XX健康运动应用，手机未安装华为运行健康应用和XX健康运行应用，且以图2C和图2E所示的窗口12显示XX健康运动应用的差异化信息进行举例示意。
手机可显示图9A示例性所示的用户界面91。其中，用户界面91可以为桌面的主界面(home screen)，用户界面91可以包括但不限于：状态栏，导航栏，日历指示符，天气指示符，以及多个应用程序图标，例如智慧生活应用的图标、音乐应用的图标、手机管家应用的图标、XX视频应用的图标、应用市场的图标901、备忘录的图标、XX出行应用的图标、图库应用的图标、通话应用的图标、短信应用的图标、浏览器的图标、相机的图标等。
手机在检测到用户指示的打开应用市场的操作(如在图9A所示的应用市场的图标901上执行点击操作)后，可显示图9B示例性所示的用户界面92。其中，用户界面92可以为应用市场的一个用户界面，如主界面。
图9B中，用户界面92可以包括：搜索框9021，搜索框9021用于提供搜索目标内容(如任意一个应用程序或与该应用程序相关的其他应用程序的名称)的入口。
手机在检测到用户指示的搜索华为运动健康应用的操作(如在图9B所示的搜索框9021中输入目标内容“华为运动健康”的操作)后，可在用户界面92上显示图9C示例性所示的搜索框9021和窗口9022。其中，窗口9022，用于显示输入键盘，以及向搜索框9021提供输入目标内容的入口。搜索框9021，还用于显示通过窗口9022输入的目标内容。
图9C中，窗口9022可以包括：控件9023，控件9023用于提供搜索目标内容的 入口。
手机在检测到用户指示的搜索华为运动健康应用的操作(如在图9C所示的控件9023上执行点击操作)后，可显示图9D示例性所示的用户界面93。其中，用户界面93可以为应用市场的一个用户界面，用于显示搜索目标内容的结果。
图9D中，用户界面93可以包括：区域903，区域903用于显示华为运动健康应用的如图标、名称、应用说明、下载量、评价等级、功能界面等描述信息，显示华为运动健康应用的应用推荐列表，以及提供显示华为运动健康应用的详情页面的入口。
手机在检测到用户指示的查看华为运动健康应用的详情页面的操作(如在图9D所示的区域903中的华为运动健康应用的图标上执行点击操作)后，可显示图9E示例性所示的用户界面94。其中，用户界面94可以为华为运动健康应用的一个用户界面，如华为运动健康应用的详情页面。需要说明的是，前述过程可对应于图8实施例中的S31和S34。
图9E中，用户界面94可以包括：区域904、区域905、区域906、区域907、区域908和区域909。
区域904，用于显示华为运动健康应用的如图标、名称、其他说明等描述信息。
区域905，用于显示华为运动健康应用的如评分大小、评价等级、评分人数、下载量、生命时长等描述信息。
区域906，用于显示华为运动健康应用的如功能界面、评价信息、推荐说明、功能说明等描述信息。
其中，区域906中可以包括：应用1的图像F11、图像F12和图像F13。
区域907，用于显示华为运动健康应用的如功能介绍、开发者等描述信息。
区域908，用于显示华为运动健康应用的应用推荐列表，如XX健康运动应用等，提供安装或更新推荐的每个应用程序的入口，提供显示每个推荐的应用程序的详情页面和差异化信息的入口。
其中，区域908可以包括：XX健康运动应用的图标9081、XX健康运动应用的名称以及控件9082。XX健康运动应用的图标9081，用于提供安装XX健康运动应用的入口，以及提供显示XX健康运动应用的详情页面和差异化信息的入口。控件9082，用于提供安装XX健康运动应用的入口。
区域909，用于提供分享华为运动健康应用、安装华为运动健康应用、查看华为运动健康应用的评价信息、启动华为运动健康应用等入口。
此外，手机还可借助XX健康运动应用的差异化图像DF，向用户提供下载/更新/打开XX健康运动应用的入口。
在一些实施例中，手机在检测到用户指示的查看华为运动健康的其他图像的操作(如在图9E所示的区域906上执行向左滑动的操作)后，可在区域906中显示应用1的其他图像。
手机在检测到用户指示的查看XX健康运动应用的差异化信息的操作(如在图9E所示的XX健康运动应用的图标9081上执行长按操作)后，可在用户界面94上显示图9F、图9G、图9H、图9I和图9J中任意一个图示例性所示的窗口95。其中，窗口95用于显示XX健康运动应用的差异化信息。需要说明的是，前述过程可对应于图8 实施例中的S35和S38。
图9F、图9G和图9H中，窗口95可以包括：XX健康运动应用的差异化图像DF和XX健康运动应用的差异化文本DT。图9I和图9J中，窗口95可以包括：XX健康运动应用的差异化图像DF。
其中，XX健康运动应用的差异化图像DF填充于窗口95的全部或部分区域。XX健康运动应用的差异化文本DT可显示于窗口95的区域9101，使得XX健康运动应用的差异化文本DT置于XX健康运动应用的差异化图像DF中。
图9F-图9J中，XX健康运动应用的差异化图像DF可以采用图6所示的图像F21进行示意。
图9F中，在确定采用XX健康运动应用的开发者提供的文本T31时，XX健康运动应用的差异化文本DT可以采用图7A所示的文本T31进行示意。
图9G中，在确定XX健康运动应用与华为运动健康应用为相同类型时，XX健康运动应用的差异化文本DT可以采用图7B所示的文本T32进行示意。
图9H中，在确定XX健康运动应用与华为运动健康应用为不同类型时，XX健康运动应用的差异化文本DT可以采用图7C所示的文本T33进行示意。
另外，图9F-图9I中，窗口95还可以包括：控件9102，控件9102用于提供安装XX健康运动应用的入口。
此外，手机在检测到用户指示的安装XX健康运动应用的操作(如在图9E所示的控件9082或图9F-图9I所示的控件9102上执行点击操作)后，可在手机中安装XX健康运动应用。
此外，手机还可借助XX健康运动应用的差异化图像DF，向用户提供查看XX健康运动应用的详情页的入口。
在一些实施例中，手机在检测到用户指示的查看XX健康运动应用的详情页面的操作(如在图9E所示的XX健康运动应用的图标9081或图9F-图9J所示的窗口95的空白区域上执行点击操作)后，可显示图9K示例性所示的用户界面96。其中，用户界面96为应用市场的一个用户界面，用户界面96用于显示XX健康运动应用的详情页面。
综上，手机在显示华为运动健康应用的详情页面时，可向用户推荐XX健康运动应用，还可通过图文结合/图像的方式，向用户展示XX健康运动应用与华为运动健康应用之间的差异性，使得用户能够快速对XX健康运动应用的特点和优势进了解，增加用户下载XX健康运动应用的兴趣。
基于前述的一些实施例，下面介绍本申请提供的应用推荐方法。
示例性地，本申请提供一种应用推荐方法。
其中，本申请的应用推荐方法可采用电子设备来执行，电子设备的具体实现方式可参见图3A和图3B提及的电子设备的描述，此处不做赘述。
请参阅图10，图10为本申请一实施例提供的一种应用推荐方法的流程示意图。
如图10所示，本申请的应用推荐方法可以包括：
S101、在第一界面中显示第一应用的描述信息和应用推荐列表，第一应用的描述 信息包括第一应用相关的图像和文本，第一应用的应用推荐列表包括与第一应用相关的第二应用。
其中，第一界面的具体实现方式可参见前文提及的应用1的详情页面、图2A所示的用户界面11以及图9E所示的用户界面94的描述，第一应用的具体实现方式可参见前文提及的应用1以及华为运动健康应用的描述，第一应用的描述信息的具体实现方式可参见前文提及的应用1的描述信息、图2A所示的用户界面11中的区域101、区域102、区域103、区域104以及图9E所示的用户界面94中的区域904、区域905、区域906、区域907、区域908和区域909的描述，第一应用的应用推荐列表的具体实现方式可参见前文提及的应用1的应用推荐列表、图2A所示的用户界面11中的区域104以及图9E所示的用户界面94中的区域908的描述，第一应用相关的图像的具体实现方式可参见前文提及的应用1的图像信息、图2A所示的用户界面11中的区域102以及图9E所示的用户界面94中的区域906所涉及的图像F11、图像F12和图像F13的描述，第一应用相关的文本的具体实现方式可参见前文提及的应用1的文本信息以及用户行为数据的日志信息、图2A所示的用户界面11中的区域101、区域102、区域103以及图9E所示的用户界面94中的区域904、区域905、区域906、区域907、区域908和区域909所涉及的文本的描述，第二应用的具体实现方式可参见前文提及的应用2以及XX健康运动应用的描述。
其中，S101的具体实现方式可参见图2A实施例以及图9D-图9E实施例的描述，此处不做赘述。
S102、接收在第一应用的应用推荐列表中针对于第二应用的第一操作。
其中，第一操作的具体实现方式可参见前文提及的用户指示的查看XX健康运动应用的差异化信息的操作以及在图9E所示的XX健康运动应用的图标9081上执行长按操作的描述。
其中，S102的具体实现方式可参见图9E-图9J实施例的描述，此处不做赘述。
S103、响应于第一操作，在第一界面上显示第一图像，其中，第一图像为第二应用的描述信息中的第二应用相关的图像，第二应用的描述信息包括第二应用相关的图像和文本，第一图像为基于第二应用的描述信息与第一应用的描述信息确定的。
其中，第一图像的具体实现方式可参见前文提及的应用2的差异化图像DF、图2B-图2E所示的窗口12中的应用2的差异化图像DF、图6中的图像F21以及图9F-图9J所示的窗口95中的图像F21的描述，第二应用的描述信息的具体实现方式可参见前文提及的应用2的描述信息以及图9K所示的用户界面96的描述，第二应用的应用推荐列表的具体实现方式可参见前文提及的应用2的应用推荐列表以及图9K所示的用户界面96所涉及的相关推荐的描述，第二应用相关的图像的具体实现方式可参见前文提及的应用2的图像信息以及图9K所示的用户界面96中的图像F21、图像F22和图像F23的描述，第二应用相关的文本的具体实现方式可参见前文提及的应用2的文本信息以及图9K所示的用户界面96所涉及的文本的描述。
其中，S103的具体实现方式可参见图2A-图2E实施例以及图9F-图9J实施例的描述，此处不做赘述。
在一些实施例中，第一图像为第二应用相关的图像和第一应用相关的图像相比差 异化最大的图像。
本申请提供的应用推荐方法，电子设备在推荐与第一应用相关的第二应用时，通过图像的方式，可展示第二应用与第一应用之间的差异性，方便用户进行准确区分和快速选择，提升了应用推荐的用户体验，增加了应用推荐的转化率，还无需通过人工配置来获取图像的展示素材，避免了应用推荐的额外成本。
另外，还可准确地推荐与第一应用相关的第二应用，提升了应用推荐的相关性，降低了推荐与第一应用无关的应用的几率，有利于吸引用户查看或下载第二应用，增加了推荐的第二应用的点击率和下载量，给用户带来了更佳的推荐体验。
在一些实施例中，电子设备响应于第一操作，可在第一界面上还显示第一文本，第一文本用于表示第二应用的特点。
其中，第一文本的具体实现方式可参见前文提及的应用2的差异化文本DT、图2B-图2E所示的窗口12中的区域201、图7A-图7C中的文本T31、文本T32和文本T33以及图9F-图9H所示的窗口95中的区域9101的描述，上述过程的具体实现方式可参见图2B-图2E实施例以及图9F-图9H实施例的描述，此处不做赘述。
从而，电子设备在推荐与第一应用相关的第二应用时，通过图文结合的方式，不仅展示了第二应用与第一应用之间的差异性，方便用户进行准确区分和快速选择，还有利于突出第二应用的特点和优势，使得用户能够快速对第二应用进行充分了解，增加用户下载第二应用的兴趣，且无需通过人工配置来获取图文结合的展示素材，避免了应用推荐的额外成本。
其中，本申请对第一文本的具体实现方式不做限定。
在一些实施例中，第一文本可置于第一图像中，如图2B-图2D以及图9F-图9H实施例所示的应用2的差异化文本DT置于应用2的差异化图像DF中。从而，更加合理地通过图文结合的方式展示第二应用与第一应用之间的差异性，以及展示第二应用的特点和优势。
在一些实施例中，第一文本的覆盖位置、字体颜色和字体字号是基于第一图像确定的。其中，前述过程的具体实现方式可参见前文提及的应用2的差异化文本DT基于应用2的差异化图像DF进行如覆盖位置、字体颜色、字体字号等参数的设置的描述，此处不做赘述。
从而，电子设备可自适应地调整第一文本在第一图像中的覆盖位置、字体颜色、字体字号等参数，确保了第一图像和第一文本更佳的展示效果。
电子设备可采用多种方式得到第一文本。例如，第一文本包括以下文本中的至少一项：由第二应用的开发者提供的文本，第二应用相关的文本，或者第二应用相关的图像中的文本。
在一些实施例中，第一文本是由第二应用的开发者提供的。其中，前述过程的具体实现方式可参见图7A中的文本T31的描述，此处不做赘述。
在另一些实施例中，第一文本与第二应用相关的文本以及第二应用相关的图像中的文本相关。其中，前述过程的具体实现方式可参见图7B中的文本T32和图7C中的文本T33的描述，此处不做赘述。
需要说明的是，除了第二应用相关的文本以及第二应用相关的图像中的文本之外， 第一文本和互联网语料中挖掘到的与第二应用相关的描述信息也可相关。
从而，为第一文本提供了多种来源，丰富了第一文本的具体实现。
本申请中，电子设备可在不同应用的应用推荐列表中推荐第二应用。
下面，结合图11，详情介绍电子设备在除了第一应用之外的应用中推荐第二应用的具体实现过程。
请参阅图11，图11为本申请一实施例提供的一种应用推荐方法的流程示意图。
如图11所示，本申请的应用推荐方法可以包括：
S201、在第二界面中显示第三应用的描述信息和应用推荐列表，第三应用的描述信息包括第三应用相关的图像和文本，第三应用的应用推荐列表包括第二应用。
其中，第二应用为与第三应用相关的应用程序，第三应用与第一应用不同。
S202、接收在第三应用的应用推荐列表中针对于第二应用的第二操作。
S203、响应于第二操作，在第二界面上显示第二图像，其中，第二图像为第二应用的描述信息中的第二应用相关的图像，第二图像为基于第二应用的描述信息与第三应用的描述信息确定的，第二图像与第一图像不同。
在一些实施例中，第二图像为第二应用相关的图像和第三应用相关的图像相比差异化最大的图像。
其中，上述S201、S202、S203的具体实现方式可分别与图10实施例中的S101、S102和S103实现方式类似，此处不做赘述。
另外，第二图像与第一图像也可相同。其中，本申请对第三应用的具体类型不做限定。在一些实施例中，在第三应用与第一应用为相同类型时，第二图像与第一图像可相同。在第三应用与第一应用为不同类型时，第二图像与第一图像可不同。
从而，电子设备可在不同应用的应用推荐列表中对同一个应用进行推荐，还可在不同应用的详情页面中展示该应用的相同或不同的图像。
除了在第一界面上显示第一图像，或者第一图像和第一文本之外，电子设备还可在第一界面上显示触发控件，触发控件用于触发安装或更新第二应用。另外，在第二应用已安装且无需更新时，触发控件还用于触发显示第二应用的详情页面。
其中，触发控件的具体实现方式可参见前文提及的图2B-图2E所示的窗口12中的控件202、图9F-图9I所示的窗口95中的控件9102的描述，上述过程的具体实现方式可参见图2B-图2E实施例以及图9F-图9I实施例的描述，此处不做赘述。
从而，电子设备在展示图像，或图像和文本的基础上，还可向用户提供安装或更新第二应用的触发控件，方便用户在电子设备中快速实现对第二应用的安装或更新。
其中，本申请对触发控件的具体实现方式不做限定。在一些实施例中，触发控件可置于第一图像中，如图2B、图2D以及图9F-图9I实施例所示的控件9102置于应用2的差异化图像DF中。
从而，电子设备可自适应地将触发控件嵌于第一图像中，提升了第一图像的展示效果。
在一些实施例中，电子设备可接收针对于触发控件的第三操作。电子设备响应于第三操作，可在电子设备中安装或更新第二应用。
其中，第三操作的具体实现方式可参见前文提及的图2B-图2E所示的窗口12中 的控件202以及图9F-图9I所示的窗口95中的控件9102上触发的操作的描述，上述过程的具体实现方式可参见图2B-图2E实施例以及图9F-图9I实施例的描述，此处不做赘述。
本申请中，电子设备通过与服务器之间的通信，可获取第一应用的描述信息和第一应用的应用推荐列表，使得电子设备可展示第一应用的详情页面，还可获取第一图像和第一文本，使得电子设备可在第一应用的详情页中显示第一图像。
下面，结合图12，详情介绍电子设备显示第一图像的具体实现过程。
请参阅图12，图12为本申请一实施例提供的一种应用推荐方法的流程示意图。
如图12所示，本申请的应用推荐方法可以包括：
S301、响应于第一操作，向服务器发送第一请求。
其中，服务器的具体实现方式可参见图3A-图3B实施例中的服务器的描述，第一操作的具体实现方式可参见前文提及的图8实施例的S35中的操作21的描述，第一请求的具体实现方式可参见前文提及的图8实施例的S35中的请求2的描述，S301的具体实现方式可参见前文提及的图8实施例的S35的描述，此处不做赘述。
S302、从服务器接收第一响应，第一响应中携带有第一图像。
其中，第一响应的具体实现方式可参见前文提及的图8实施例的S37中的应用2与应用1之间的差异化信息的描述，第一响应是服务器基于图4、图5、图6、图7A-图7B以及图8实施例的描述得到的，第一响应中还可携带有第一文本，第一响应的具体实现方式可参见前文提及的图8实施例的S37中的应用2与应用1之间的差异化信息的描述，第一响应的具体实现方式可参见前文提及的图8实施例的S37中的差异化图像的描述，S302的具体实现方式可参见前文提及的图8实施例的S37的描述，此处不做赘述。
S303、在第一界面上的部分区域显示的第一图像。
其中，第一界面的具体实现方式可参见前文提及的图8实施例的S38中的应用1的详情页面的描述，S303的具体实现方式可参见前文提及的图8实施例的S38的描述，此处不做赘述。
从而，电子设备通过与服务器的交互，可在推荐第二应用的同时，展示第二应用与第一应用之间的差异化最大的第一图像。
电子设备可向用户提供了多种进入到第二应用的详情页面的入口。
在一些实施例中，电子设备可接收在第一图像中的第四操作。电子设备响应于第四操作，可在第三界面中显示第二应用的描述信息和应用推荐列表。
其中，第四操作的具体实现方式可参见前文提及的图2B-图2E所示的窗口12中的空白区域以及图9F-图9J所示的窗口95中的空白区域上触发的操作的描述，上述过程的具体实现方式可参见图2B-图2E实施例以及图9F-图9K实施例的描述，此处不做赘述。
从而，为展示第二应用的详情页面提供了一种新的方式。
在另一些实施例中，电子设备可接收在第一应用的应用推荐列表中针对于第二应用的第五操作，第五操作与第一操作不同。电子设备响应于第五操作，可在第五界面中显示第二应用的描述信息和应用推荐列表。
其中，第五操作的具体实现方式可参见前文提及的图2A所示的区域1041中的应用2的图标以及图9E所示的区域908中的XX健康运动应用的图标9081上触发的操作的描述，上述过程的具体实现方式可参见图2A-图2E实施例以及图9E-图9K实施例的描述，此处不做赘述。
从而，兼顾了展示第二应用的详情页面的方式。
基于上述实施例的描述，本申请对第一应用和第二应用的具体实现方式不做限定。
在一些实施例中，第一界面为应用市场的一个用户界面，第一应用或第二应用为应用市场中提供的一个应用程序。
下面以电子设备为手机为例，结合图13和图14，介绍本申请涉及的电子设备。
图13为本申请一实施例提供的一种电子设备的结构示意图。如图13所示，电子设备100可以包括处理器110，外部存储器接口120，内部存储器121，通用串行总线(universal serial bus，USB)接口130，充电管理模块140，电源管理模块141，电池142，天线1，天线2，移动通信模块150，无线通信模块160，音频模块170，扬声器170A，受话器170B，麦克风170C，耳机接口170D，传感器模块180，按键190，马达191，指示器192，摄像头193，显示屏194，以及用户标识模块(subscriber identification module，SIM)卡接口195等。其中传感器模块180可以包括压力传感器180A，陀螺仪传感器180B，气压传感器180C，磁传感器180D，加速度传感器180E，距离传感器180F，接近光传感器180G，指纹传感器180H，温度传感器180J，触摸传感器180K，环境光传感器180L，骨传导传感器180M等。
可以理解的是，本申请示意的结构并不构成对电子设备100的具体限定。在另一些实施例中，电子设备100可以包括比图示更多或更少的部件，或者组合某些部件，或者拆分某些部件，或者不同的部件布置。图示的部件可以以硬件，软件或软件和硬件的组合实现。
处理器110可以包括一个或多个处理单元，例如：处理器110可以包括应用处理器(application processor，AP)，调制解调处理器，图形处理器(graphics processing unit，GPU)，图像信号处理器(image signal processor，ISP)，控制器，存储器，视频编解码器，数字信号处理器(digital signal processor，DSP)，基带处理器，和/或神经网络处理器(neural-network processing unit，NPU)等。其中，不同的处理单元可以是独立的器件，也可以集成在一个或多个处理器中。
其中，控制器可以是电子设备100的神经中枢和指挥中心。控制器可以根据指令操作码和时序信号，产生操作控制信号，完成取指令和执行指令的控制。
处理器110中还可以设置存储器，用于存储指令和数据。在一些实施例中，处理器110中的存储器为高速缓冲存储器。该存储器可以保存处理器110刚用过或循环使用的指令或数据。如果处理器110需要再次使用该指令或数据，可从所述存储器中直接调用。避免了重复存取，减少了处理器110的等待时间，因而提高了***的效率。
在一些实施例中，处理器110可以包括一个或多个接口。接口可以包括集成电路(inter-integrated circuit，I2C)接口，集成电路内置音频(inter-integrated circuit sound，I2S)接口，脉冲编码调制(pulse code modulation，PCM)接口，通用异步收发传输器 (universal asynchronous receiver/transmitter，UART)接口，移动产业处理器接口(mobile industry processor interface，MIPI)，通用输入输出(general-purpose input/output，GPIO)接口，用户标识模块(subscriber identity module，SIM)接口，和/或通用串行总线(universal serial bus，USB)接口等。
I2C接口是一种双向同步串行总线，包括一根串行数据线(serial data line，SDA)和一根串行时钟线(derail clock line，SCL)。在一些实施例中，处理器110可以包含多组I2C总线。处理器110可以通过不同的I2C总线接口分别耦合触摸传感器180K，充电器，闪光灯，摄像头193等。例如：处理器110可以通过I2C接口耦合触摸传感器180K，使处理器110与触摸传感器180K通过I2C总线接口通信，实现电子设备100的触摸功能。
I2S接口可以用于音频通信。在一些实施例中，处理器110可以包含多组I2S总线。处理器110可以通过I2S总线与音频模块170耦合，实现处理器110与音频模块170之间的通信。在一些实施例中，音频模块170可以通过I2S接口向无线通信模块160传递音频信号，实现通过蓝牙耳机接听电话的功能。
PCM接口也可以用于音频通信，将模拟信号抽样，量化和编码。在一些实施例中，音频模块170与无线通信模块160可以通过PCM总线接口耦合。在一些实施例中，音频模块170也可以通过PCM接口向无线通信模块160传递音频信号，实现通过蓝牙耳机接听电话的功能。所述I2S接口和所述PCM接口都可以用于音频通信。
UART接口是一种通用串行数据总线，用于异步通信。该总线可以为双向通信总线。它将要传输的数据在串行通信与并行通信之间转换。在一些实施例中，UART接口通常被用于连接处理器110与无线通信模块160。例如：处理器110通过UART接口与无线通信模块160中的蓝牙模块通信，实现蓝牙功能。在一些实施例中，音频模块170可以通过UART接口向无线通信模块160传递音频信号，实现通过蓝牙耳机播放音乐的功能。
MIPI接口可以被用于连接处理器110与显示屏194，摄像头193等***器件。MIPI接口包括摄像头串行接口(camera serial interface，CSI)，显示屏串行接口(display serial interface，DSI)等。在一些实施例中，处理器110和摄像头193通过CSI接口通信，实现电子设备100的拍摄功能。处理器110和显示屏194通过DSI接口通信，实现电子设备100的显示功能。
GPIO接口可以通过软件配置。GPIO接口可以被配置为控制信号，也可被配置为数据信号。在一些实施例中，GPIO接口可以用于连接处理器110与摄像头193，显示屏194，无线通信模块160，音频模块170，传感器模块180等。GPIO接口还可以被配置为I2C接口，I2S接口，UART接口，MIPI接口等。
USB接口130是符合USB标准规范的接口，具体可以是Mini USB接口，Micro USB接口，USB Type C接口等。USB接口130可以用于连接充电器为电子设备100充电，也可以用于电子设备100与***设备之间传输数据。也可以用于连接耳机，通过耳机播放音频。该接口还可以用于连接其他电子设备，例如AR设备等。
可以理解的是，本申请示意的各模块间的接口连接关系，只是示意性说明，并不构成对电子设备100的结构限定。在另一些实施例中，电子设备100也可以采用上述 实施例中不同的接口连接方式，或多种接口连接方式的组合。
充电管理模块140用于从充电器接收充电输入。其中，充电器可以是无线充电器，也可以是有线充电器。在一些有线充电的实施例中，充电管理模块140可以通过USB接口130接收有线充电器的充电输入。在一些无线充电的实施例中，充电管理模块140可以通过电子设备100的无线充电线圈接收无线充电输入。充电管理模块140为电池142充电的同时，还可以通过电源管理模块141为电子设备供电。
电源管理模块141用于连接电池142，充电管理模块140与处理器110。电源管理模块141接收电池142和/或充电管理模块140的输入，为处理器110，内部存储器121，外部存储器，显示屏194，摄像头193，和无线通信模块160等供电。电源管理模块141还可以用于监测电池容量，电池循环次数，电池健康状态(漏电，阻抗)等参数。在其他一些实施例中，电源管理模块141也可以设置于处理器110中。在另一些实施例中，电源管理模块141和充电管理模块140也可以设置于同一个器件中。
电子设备100的无线通信功能可以通过天线1，天线2，移动通信模块150，无线通信模块160，调制解调处理器以及基带处理器等实现。
天线1和天线2用于发射和接收电磁波信号。电子设备100中的每个天线可用于覆盖单个或多个通信频带。不同的天线还可以复用，以提高天线的利用率。例如：可以将天线1复用为无线局域网的分集天线。在另外一些实施例中，天线可以和调谐开关结合使用。
移动通信模块150可以提供应用在电子设备100上的包括2G/3G/4G/5G等无线通信的解决方案。移动通信模块150可以包括至少一个滤波器，开关，功率放大器，低噪声放大器(low noise amplifier，LNA)等。移动通信模块150可以由天线1接收电磁波，并对接收的电磁波进行滤波，放大等处理，传送至调制解调处理器进行解调。移动通信模块150还可以对经调制解调处理器调制后的信号放大，经天线1转为电磁波辐射出去。在一些实施例中，移动通信模块150的至少部分功能模块可以被设置于处理器110中。在一些实施例中，移动通信模块150的至少部分功能模块可以与处理器110的至少部分模块被设置在同一个器件中。
调制解调处理器可以包括调制器和解调器。其中，调制器用于将待发送的低频基带信号调制成中高频信号。解调器用于将接收的电磁波信号解调为低频基带信号。随后解调器将解调得到的低频基带信号传送至基带处理器处理。低频基带信号经基带处理器处理后，被传递给应用处理器。应用处理器通过音频设备(不限于扬声器170A，受话器170B等)输出声音信号，或通过显示屏194显示图像或视频。在一些实施例中，调制解调处理器可以是独立的器件。在另一些实施例中，调制解调处理器可以独立于处理器110，与移动通信模块150或其他功能模块设置在同一个器件中。
无线通信模块160可以提供应用在电子设备100上的包括无线局域网(wireless local area networks，WLAN)(如无线保真(wireless fidelity，Wi-Fi)网络)，蓝牙(bluetooth，BT)，全球导航卫星***(global navigation satellite system，GNSS)，调频(frequency modulation，FM)，近距离无线通信技术(near field communication，NFC)，红外技术(infrared，IR)等无线通信的解决方案。无线通信模块160可以是集成至少一个通信处理模块的一个或多个器件。无线通信模块160经由天线2接收电 磁波，将电磁波信号调频以及滤波处理，将处理后的信号发送到处理器110。无线通信模块160还可以从处理器110接收待发送的信号，对其进行调频，放大，经天线2转为电磁波辐射出去。
在一些实施例中，电子设备100的天线1和移动通信模块150耦合，天线2和无线通信模块160耦合，使得电子设备100可以通过无线通信技术与网络以及其他设备通信。所述无线通信技术可以包括全球移动通讯***(global system for mobile communications，GSM)，通用分组无线服务(general packet radio service，GPRS)，码分多址接入(code division multiple access，CDMA)，宽带码分多址(wideband code division multiple access，WCDMA)，时分码分多址(time-division code division multiple access，TD-SCDMA)，长期演进(long term evolution，LTE)，BT，GNSS，WLAN，NFC，FM，和/或IR技术等。所述GNSS可以包括全球卫星定位***(global positioning system，GPS)，全球导航卫星***(global navigation satellite system，GLONASS)，北斗卫星导航***(beidou navigation satellite system，BDS)，准天顶卫星***(quasi-zenith satellite system，QZSS)和/或星基增强***(satellite based augmentation systems，SBAS)。
电子设备100通过GPU，显示屏194，以及应用处理器等实现显示功能。GPU为图像处理的微处理器，连接显示屏194和应用处理器。GPU用于执行数学和几何计算，用于图形渲染。处理器110可包括一个或多个GPU，其执行程序指令以生成或改变显示信息。
显示屏194用于显示图像，视频等。显示屏194包括显示面板。显示面板可以采用液晶显示屏(liquid crystal display，LCD)，有机发光二极管(organic light-emitting diode，OLED)，有源矩阵有机发光二极体或主动矩阵有机发光二极体(active-matrix organic light emitting diode的，AMOLED)，柔性发光二极管(flex light-emitting diode，FLED)，Miniled，MicroLed，Micro-oLed，量子点发光二极管(quantum dot light emitting diodes，QLED)等。在一些实施例中，电子设备100可以包括1个或N个显示屏194，N为大于1的正整数。
电子设备100可以通过ISP，摄像头193，视频编解码器，GPU，显示屏194以及应用处理器等实现拍摄功能。
ISP用于处理摄像头193反馈的数据。例如，拍照时，打开快门，光线通过镜头被传递到摄像头感光元件上，光信号转换为电信号，摄像头感光元件将所述电信号传递给ISP处理，转化为肉眼可见的图像。ISP还可以对图像的噪点，亮度，肤色进行算法优化。ISP还可以对拍摄场景的曝光，色温等参数优化。在一些实施例中，ISP可以设置在摄像头193中。
摄像头193用于捕获静态图像或视频。物体通过镜头生成光学图像投射到感光元件。感光元件可以是电荷耦合器件(charge coupled device，CCD)或互补金属氧化物半导体(complementary metal-oxide-semiconductor，CMOS)光电晶体管。感光元件把光信号转换成电信号，之后将电信号传递给ISP转换成数字图像信号。ISP将数字图像信号输出到DSP加工处理。DSP将数字图像信号转换成标准的RGB，YUV等格式的图像信号。在一些实施例中，电子设备100可以包括1个或N个摄像头193，N为 大于1的正整数。
数字信号处理器用于处理数字信号，除了可以处理数字图像信号，还可以处理其他数字信号。例如，当电子设备100在频点选择时，数字信号处理器用于对频点能量进行傅里叶变换等。
视频编解码器用于对数字视频压缩或解压缩。电子设备100可以支持一种或多种视频编解码器。这样，电子设备100可以播放或录制多种编码格式的视频，例如：动态图像专家组(moving picture experts group，MPEG)1，MPEG2，MPEG3，MPEG4等。
NPU为神经网络(neural-network，NN)计算处理器，通过借鉴生物神经网络结构，例如借鉴人脑神经元之间传递模式，对输入信息快速处理，还可以不断的自学习。通过NPU可以实现电子设备100的智能认知等应用，例如：图像识别，人脸识别，语音识别，文本理解等。
外部存储器接口120可以用于连接外部存储卡，例如Micro SD卡，实现扩展电子设备100的存储能力。外部存储卡通过外部存储器接口120与处理器110通信，实现数据存储功能。例如将音乐，视频等文件保存在外部存储卡中。
内部存储器121可以用于存储计算机可执行程序代码，所述可执行程序代码包括指令。处理器110通过运行存储在内部存储器121的指令，从而执行电子设备100的各种功能应用以及数据处理。内部存储器121可以包括存储程序区和存储数据区。其中，存储程序区可存储操作***，至少一个功能所需的应用程序(比如声音播放功能，图像播放功能等)等。存储数据区可存储电子设备100使用过程中所创建的数据(比如音频数据，电话本等)等。此外，内部存储器121可以包括高速随机存取存储器，还可以包括非易失性存储器，例如至少一个磁盘存储器件，闪存器件，通用闪存存储器(universal flash storage，UFS)等。
电子设备100可以通过音频模块170，扬声器170A，受话器170B，麦克风170C，耳机接口170D，以及应用处理器等实现音频功能。例如音乐播放，录音等。
音频模块170用于将数字音频信息转换成模拟音频信号输出，也用于将模拟音频输入转换为数字音频信号。音频模块170还可以用于对音频信号编码和解码。在一些实施例中，音频模块170可以设置于处理器110中，或将音频模块170的部分功能模块设置于处理器110中。
扬声器170A，也称“喇叭”，用于将音频电信号转换为声音信号。电子设备100可以通过扬声器170A收听音乐，或收听免提通话。
受话器170B，也称“听筒”，用于将音频电信号转换成声音信号。当电子设备100接听电话或语音信息时，可以通过将受话器170B靠近人耳接听语音。
麦克风170C，也称“话筒”，“传声器”，用于将声音信号转换为电信号。当拨打电话或发送语音信息时，用户可以通过人嘴靠近麦克风170C发声，将声音信号输入到麦克风170C。电子设备100可以设置至少一个麦克风170C。在另一些实施例中，电子设备100可以设置两个麦克风170C，除了采集声音信号，还可以实现降噪功能。在另一些实施例中，电子设备100还可以设置三个，四个或更多麦克风170C，实现采集声音信号，降噪，还可以识别声音来源，实现定向录音功能等。
耳机接口170D用于连接有线耳机。耳机接口170D可以是USB接口130，也可以是3.5mm的开放移动电子设备平台(open mobile terminal platform，OMTP)标准接口，美国蜂窝电信工业协会(cellular telecommunications industry association of the USA，CTIA)标准接口。
压力传感器180A用于感受压力信号，可以将压力信号转换成电信号。在一些实施例中，压力传感器180A可以设置于显示屏194。压力传感器180A的种类很多，如电阻式压力传感器，电感式压力传感器，电容式压力传感器等。电容式压力传感器可以是包括至少两个具有导电材料的平行板。当有力作用于压力传感器180A，电极之间的电容改变。电子设备100根据电容的变化确定压力的强度。当有触摸操作作用于显示屏194，电子设备100根据压力传感器180A检测所述触摸操作强度。电子设备100也可以根据压力传感器180A的检测信号计算触摸的位置。在一些实施例中，作用于相同触摸位置，但不同触摸操作强度的触摸操作，可以对应不同的操作指令。例如：当有触摸操作强度小于第一压力阈值的触摸操作作用于短消息应用图标时，执行查看短消息的指令。当有触摸操作强度大于或等于第一压力阈值的触摸操作作用于短消息应用图标时，执行新建短消息的指令。
陀螺仪传感器180B可以用于确定电子设备100的运动姿态。在一些实施例中，可以通过陀螺仪传感器180B确定电子设备100围绕三个轴(即，x，y和z轴)的角速度。陀螺仪传感器180B可以用于拍摄防抖。示例性的，当按下快门，陀螺仪传感器180B检测电子设备100抖动的角度，根据角度计算出镜头模组需要补偿的距离，让镜头通过反向运动抵消电子设备100的抖动，实现防抖。陀螺仪传感器180B还可以用于导航，体感游戏场景。
气压传感器180C用于测量气压。在一些实施例中，电子设备100通过气压传感器180C测得的气压值计算海拔高度，辅助定位和导航。
磁传感器180D包括霍尔传感器。电子设备100可以利用磁传感器180D检测翻盖皮套的开合。在一些实施例中，当电子设备100是翻盖机时，电子设备100可以根据磁传感器180D检测翻盖的开合。进而根据检测到的皮套的开合状态或翻盖的开合状态，设置翻盖自动解锁等特性。
加速度传感器180E可检测电子设备100在各个方向上(一般为三轴)加速度的大小。当电子设备100静止时可检测出重力的大小及方向。还可以用于识别电子设备姿态，应用于横竖屏切换，计步器等应用。
距离传感器180F，用于测量距离。电子设备100可以通过红外或激光测量距离。在一些实施例中，拍摄场景，电子设备100可以利用距离传感器180F测距以实现快速对焦。
接近光传感器180G可以包括例如发光二极管(LED)和光检测器，例如光电二极管。发光二极管可以是红外发光二极管。电子设备100通过发光二极管向外发射红外光。电子设备100使用光电二极管检测来自附近物体的红外反射光。当检测到充分的反射光时，可以确定电子设备100附近有物体。当检测到不充分的反射光时，电子设备100可以确定电子设备100附近没有物体。电子设备100可以利用接近光传感器180G检测用户手持电子设备100贴近耳朵通话，以便自动熄灭屏幕达到省电的目的。 接近光传感器180G也可用于皮套模式，口袋模式自动解锁与锁屏。
环境光传感器180L用于感知环境光亮度。电子设备100可以根据感知的环境光亮度自适应调节显示屏194亮度。环境光传感器180L也可用于拍照时自动调节白平衡。环境光传感器180L还可以与接近光传感器180G配合，检测电子设备100是否在口袋里，以防误触。
指纹传感器180H用于采集指纹。电子设备100可以利用采集的指纹特性实现指纹解锁，访问应用锁，指纹拍照，指纹接听来电等。
温度传感器180J用于检测温度。在一些实施例中，电子设备100利用温度传感器180J检测的温度，执行温度处理策略。例如，当温度传感器180J上报的温度超过阈值，电子设备100执行降低位于温度传感器180J附近的处理器的性能，以便降低功耗实施热保护。在另一些实施例中，当温度低于另一阈值时，电子设备100对电池142加热，以避免低温导致电子设备100异常关机。在其他一些实施例中，当温度低于又一阈值时，电子设备100对电池142的输出电压执行升压，以避免低温导致的异常关机。
触摸传感器180K，也称“触控面板”。触摸传感器180K可以设置于显示屏194，由触摸传感器180K与显示屏194组成触摸屏，也称“触控屏”。触摸传感器180K用于检测作用于其上或附近的触摸操作。触摸传感器可以将检测到的触摸操作传递给应用处理器，以确定触摸事件类型。可以通过显示屏194提供与触摸操作相关的视觉输出。在另一些实施例中，触摸传感器180K也可以设置于电子设备100的表面，与显示屏194所处的位置不同。
骨传导传感器180M可以获取振动信号。在一些实施例中，骨传导传感器180M可以获取人体声部振动骨块的振动信号。骨传导传感器180M也可以接触人体脉搏，接收血压跳动信号。在一些实施例中，骨传导传感器180M也可以设置于耳机中，结合成骨传导耳机。音频模块170可以基于所述骨传导传感器180M获取的声部振动骨块的振动信号，解析出语音信号，实现语音功能。应用处理器可以基于所述骨传导传感器180M获取的血压跳动信号解析心率信息，实现心率检测功能。
按键190包括开机键，音量键等。按键190可以是机械按键。也可以是触摸式按键。电子设备100可以接收按键输入，产生与电子设备100的用户设置以及功能控制有关的键信号输入。
马达191可以产生振动提示。马达191可以用于来电振动提示，也可以用于触摸振动反馈。例如，作用于不同应用(例如拍照，音频播放等)的触摸操作，可以对应不同的振动反馈效果。作用于显示屏194不同区域的触摸操作，马达191也可对应不同的振动反馈效果。不同的应用场景(例如：时间提醒，接收信息，闹钟，游戏等)也可以对应不同的振动反馈效果。触摸振动反馈效果还可以支持自定义。
指示器192可以是指示灯，可以用于指示充电状态，电量变化，也可以用于指示消息，未接来电，通知等。
SIM卡接口195用于连接SIM卡。SIM卡可以通过***SIM卡接口195，或从SIM卡接口195拔出，实现和电子设备100的接触和分离。电子设备100可以支持1个或N个SIM卡接口，N为大于1的正整数。SIM卡接口195可以支持Nano SIM卡，Micro SIM卡，SIM卡等。同一个SIM卡接口195可以同时***多张卡。所述多张卡的类型 可以相同，也可以不同。SIM卡接口195也可以兼容不同类型的SIM卡。SIM卡接口195也可以兼容外部存储卡。电子设备100通过SIM卡和网络交互，实现通话以及数据通信等功能。在一些实施例中，电子设备100采用eSIM，即：嵌入式SIM卡。eSIM卡可以嵌在电子设备100中，不能和电子设备100分离。
电子设备100的软件***可以采用分层架构，事件驱动架构，微核架构，微服务架构，或云架构。本申请以分层架构的Android***为例，示例性说明电子设备100的软件结构。其中，本申请对电子设备的操作***的类型不做限定。例如，Android***、Linux***、Windows***、iOS***、鸿蒙操作***(harmony operating system，鸿蒙OS)等。
图14为本申请一实施例提供的一种电子设备的软件结构框图。如图14所示，分层架构将软件分成若干个层，每一层都有清晰的角色和分工。层与层之间通过软件接口通信。
在一些实施例中，将Android***分为四层，从上至下分别为应用程序层(APP)，应用程序框架层(APP framework)，安卓运行时(Android runtime)和***库(libraries)，以及内核层(kernel)。
应用程序层可以包括一系列应用程序包。
如图14所示，应用程序包可以包括相机，图库，日历，通话，地图，导航，WLAN，蓝牙，音乐，视频，游戏，聊天，购物，出行，即时通信(如短信息)，智能家居，设备控制等应用程序(application，APP)。
其中，智能家居应用可用于对具有联网功能的家居设备进行控制或管理。例如，家居设备可以包括电灯、电视和空调。又如，家居设备还可以包括防盗门锁、音箱、扫地机器人、插座、体脂秤、台灯、空气净化器、电冰箱、洗衣机、热水器、微波炉、电饭锅、窗帘、风扇、电视、机顶盒、门窗等。
另外，应用程序包还可以包括：主屏幕(即桌面)，负一屏，控制中心，通知中心等应用程序。
其中，负一屏，又可称为“-1屏”，是指在电子设备的主屏幕向右滑动屏幕，直至滑动至最左侧分屏的用户界面(user interface，UI)。例如，负一屏可以用于放置一些快捷服务功能和通知消息，比如全局搜索、应用程序某个页面的快捷入口(付款码、微信等)、即时信息及提醒(快递信息、支出信息、通勤路况、打车出行信息、日程信息等)及关注动态(足球看台、篮球看台、股票信息等)等。控制中心为电子设备的上滑消息通知栏，即当用户在电子设备的底部开始进行向上滑动的操作时电子设备所显示出的用户界面。通知中心为电子设备的下拉消息通知栏，即当用户在电子设备的顶部开始进行向下操作时电子设备所显示出的用户界面。
应用程序框架层为应用程序层的应用程序提供应用编程接口(application programming interface，API)和编程框架。应用程序框架层包括一些预先定义的函数。
如图14所示，应用程序框架层可以包括窗口管理器，内容提供器，视图***，电话管理器，资源管理器，通知管理器等。
窗口管理器(window manager)用于管理窗口程序，如管理窗口状态、属性、视图(view)增加、删除、更新、窗口顺序、消息收集和处理等。窗口管理器可以获取 显示屏大小，判断是否有状态栏，锁定屏幕，截取屏幕等。并且，窗口管理器为外界访问窗口的入口。
内容提供器用于存放和获取数据，并使这些数据可以被应用程序访问。所述数据可以包括视频，图像，音频，拨打和接听的电话，浏览历史和书签，电话簿等。
视图***包括可视控件，例如显示文字的控件，显示图片的控件等。视图***可用于构建应用程序。显示界面可以由一个或多个视图组成的。例如，包括短信通知图标的显示界面，可以包括显示文字的视图以及显示图片的视图。
电话管理器用于提供电子设备100的通信功能。例如通话状态的管理(包括接通，挂断等)。
资源管理器(resource manager)为应用程序提供各种资源，比如本地化字符串，图标，图片，用户界面的布局文件(layout xml)，视频文件，字体，颜色，用户界面组件(user interface module，UI组件)的身份标识号码(identity document，ID)(也可称为序列号或账号)等。并且，资源管理器用于统一管理前述资源。
通知管理器使应用程序可以在状态栏中显示通知信息，可以用于传达告知类型的消息，可以短暂停留后自动消失，无需用户交互。比如通知管理器被用于告知下载完成，消息提醒等。通知管理器还可以是以图表或者滚动条文本形式出现在***顶部状态栏的通知，例如后台运行的应用程序的通知，还可以是以对话窗口形式出现在屏幕上的通知。例如在状态栏提示文本信息，发出提示音，电子设备振动，指示灯闪烁等。
安卓运行时包括核心库和虚拟机。安卓运行时负责Android***的调度和管理。
核心库包含两部分：一部分是java语言需要调用的功能函数，另一部分是Android***的核心库。
应用程序层和应用程序框架层运行在虚拟机中。虚拟机将应用程序层和应用程序框架层的java文件执行为二进制文件。虚拟机用于执行对象生命周期的管理，堆栈管理，线程管理，安全和异常的管理，以及垃圾回收等功能。
***库可以包括多个功能模块。例如：表面管理器(surface manager)，媒体库(media libraries)，三维图形处理库(例如：OpenGLES)，2D图形引擎(例如：SGL)和图像处理库等。
表面管理器用于对显示子***进行管理，并且为多个应用程序提供了2D和3D图层的融合。
媒体库支持多种常用的音频，视频格式回放和录制，以及静态图像文件等。媒体库可以支持多种音视频编码格式，例如：MPEG4，H.264，MP3，AAC，AMR，JPG，PNG等。
三维图形处理库用于实现三维图形绘图，图像渲染，合成和图层处理等。
2D图形引擎是2D绘图的绘图引擎。
内核层是硬件和软件之间的层。内核层至少包含显示驱动，摄像头驱动，音频驱动，传感器驱动。
下面结合利用智能音箱播放声音的场景，示例性说明电子设备100的软件和硬件的工作流程。
当触摸传感器180K接收到触摸操作，相应的硬件中断被发给内核层。内核层将 触摸操作加工成原始输入事件(包括触摸坐标，触摸操作的时间戳等信息)。原始输入事件被存储在内核层。应用程序框架层从内核层获取原始输入事件，识别该输入事件所对应的控件。以该触摸操作是触摸单击操作，该单击操作所对应的控件为智能音箱图标的控件为例，智能音箱应用调用应用框架层的接口，启动智能音箱应用，进而通过调用内核层启动音频驱动，通过扬声器170A将音频电信号转换成声音信号。
可以理解的是，本申请示意的结构并不构成对电子设备100的具体限定。在另一些实施例中，电子设备100可以包括比图示更多或更少的部件，或者组合某些部件，或者拆分某些部件，或者不同的部件布置。图示的部件可以以硬件，软件或软件和硬件的组合实现。
示例性地，本申请提供一种电子设备，包括：存储器和处理器；存储器用于存储程序指令；处理器用于调用存储器中的程序指令使得电子设备执行前文实施例中的方法。
示例性地，本申请提供一种芯片***，芯片***应用于包括存储器、显示屏和传感器的电子设备；芯片***包括：处理器；当处理器执行存储器中存储的计算机指令时，电子设备执行前文实施例中的方法。
示例性地，本申请提供一种计算机可读存储介质，其上存储有计算机程序，计算机程序被处理器使得电子设备执行时实现前文实施例中的方法。
示例性地，本申请提供一种计算机程序产品，包括：执行指令，执行指令存储在可读存储介质中，电子设备的至少一个处理器可以从可读存储介质读取执行指令，至少一个处理器执行执行指令使得电子设备实现前文实施例中的方法。
在上述实施例中，全部或部分功能可以通过软件、硬件、或者软件加硬件的组合来实现。当使用软件实现时，可以全部或部分地以计算机程序产品的形式实现。所述计算机程序产品包括一个或多个计算机指令。在计算机上加载和执行所述计算机程序指令时，全部或部分地产生按照本申请所述的流程或功能。所述计算机可以是通用计算机、专用计算机、计算机网络、或者其他可编程装置。所述计算机指令可以存储在计算机可读存储介质中。所述计算机可读存储介质可以是计算机能够存取的任何可用介质或者是包含一个或多个可用介质集成的服务器、数据中心等数据存储设备。所述可用介质可以是磁性介质，(例如，软盘、硬盘、磁带)、光介质(例如，DVD)、或者半导体介质(例如，固态硬盘(solid state disk，SSD))等。
本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程，该流程可以由计算机程序来指令相关的硬件完成，该程序可存储于计算机可读取存储介质中，该程序在执行时，可包括如上述各方法实施例的流程。而前述的存储介质包括：ROM或随机存储记忆体RAM、磁碟或者光盘等各种可存储程序代码的介质。

Claims (16)

  1. 一种应用推荐方法，其特征在于，应用于电子设备；所述方法包括：
    在第一界面中显示第一应用的描述信息和应用推荐列表，所述第一应用的描述信息包括所述第一应用相关的图像和文本，所述第一应用的应用推荐列表包括与所述第一应用相关的第二应用；
    接收在所述第一应用的应用推荐列表中针对于所述第二应用的第一操作；
    响应于所述第一操作，在所述第一界面上显示第一图像，其中，所述第一图像为所述第二应用的描述信息中的所述第二应用相关的图像，所述第二应用的描述信息包括所述第二应用相关的图像和文本，所述第一图像为基于所述第二应用的描述信息与所述第一应用的描述信息确定的。
  2. 根据权利要求1所述的方法，其特征在于，所述第一图像为基于所述第二应用的描述信息与所述第一应用的描述信息确定的包括：
    所述第一图像为所述第二应用相关的图像和所述第一应用相关的图像相比差异化最大的图像。
  3. 根据权利要求1或2所述的方法，其特征在于，所述方法包括：
    响应于所述第一操作，在所述第一界面上还显示第一文本，所述第一文本用于表示所述第二应用的特点。
  4. 根据权利要求3所述的方法，其特征在于，所述第一文本置于所述第一图像中。
  5. 根据权利要求4所述的方法，其特征在于，所述第一文本的覆盖位置、字体颜色和字体字号是基于所述第一图像确定的。
  6. 根据权利要求3-5中任一项所述的方法，其特征在于，所述第一文本包括以下文本中的至少一项：
    由所述第二应用的开发者提供的文本，所述第二应用相关的文本，或者所述第二应用相关的图像中的文本。
  7. 根据权利要求1-6中任一项所述的方法，其特征在于，所述方法还包括：
    在第二界面中显示第三应用的描述信息和应用推荐列表，所述第三应用的描述信息包括所述第三应用相关的图像和文本，所述第三应用的应用推荐列表包括所述第二应用；
    接收在所述第三应用的应用推荐列表中针对于所述第二应用的第二操作；
    响应于所述第二操作，在所述第二界面上显示第二图像，其中，所述第二图像为所述第二应用的描述信息中的所述第二应用相关的图像，所述第二图像为基于所述第二应用的描述信息与所述第三应用的描述信息确定的，所述第二图像与所述第一图像不同。
  8. 根据权利要求7所述的方法，其特征在于，所述第三应用与所述第一应用为不同的类型。
  9. 根据权利要求1-8中任一项所述的方法，其特征在于，所述方法包括：
    响应于所述第一操作，在所述第一界面上还显示触发控件，所述触发控件用于触发安装或更新所述第二应用；
    接收针对于所述触发控件的第三操作；
    响应于所述第三操作，在所述电子设备中安装或更新所述第二应用。
  10. 根据权利要求9所述的方法，其特征在于，所述触发控件置于所述第一图像中。
  11. 根据权利要求1-10任一项所述的方法，其特征在于，所述响应于所述第一操作，在所述第一界面上显示第一图像，包括：
    响应于所述第一操作，向服务器发送第一请求；
    从所述服务器接收第一响应，所述第一响应中携带有所述第一图像；
    在所述第一界面上的部分区域显示所述的第一图像。
  12. 根据权利要求1-11中任一项所述的方法，其特征在于，所述方法还包括：
    接收在所述第一图像中的第四操作；
    响应于所述第四操作，在第三界面中显示所述第二应用的描述信息和应用推荐列表。
  13. 根据权利要求1-12中任一项所述的方法，其特征在于，所述方法还包括：
    接收在所述第一应用的应用推荐列表中针对于所述第二应用的第五操作，所述第五操作与所述第一操作不同；
    响应于所述第五操作，在第五界面中显示所述第二应用的描述信息和应用推荐列表。
  14. 根据权利要求1-13任一项所述的方法，其特征在于，第一界面为应用市场的一个用户界面，第一应用或第二应用为所述应用市场中提供的一个应用程序。
  15. 一种电子设备，其特征在于，包括：存储器和处理器；
    所述存储器用于存储程序指令；
    所述处理器用于调用所述存储器中的程序指令使得所述电子设备执行权利要求1-14任一项所述的应用推荐方法。
  16. 一种计算机可读存储介质，其特征在于，包括计算机指令，当所述计算机指令在电子设备上运行时，使得所述电子设备执行如权利要求1-14任一项所述的应用推荐方法。
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