CN113179440A - Smart television user analysis processing method, device, server and system - Google Patents
Smart television user analysis processing method, device, server and system Download PDFInfo
- Publication number
- CN113179440A CN113179440A CN202110416701.3A CN202110416701A CN113179440A CN 113179440 A CN113179440 A CN 113179440A CN 202110416701 A CN202110416701 A CN 202110416701A CN 113179440 A CN113179440 A CN 113179440A
- Authority
- CN
- China
- Prior art keywords
- user
- intelligent television
- remote controller
- television
- behavior record
- Prior art date
- Legal status (The legal status 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 status listed.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/41—Structure of client; Structure of client peripherals
- H04N21/422—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
- H04N21/42204—User interfaces specially adapted for controlling a client device through a remote control device; Remote control devices therefor
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/4508—Management of client data or end-user data
- H04N21/4532—Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, preferences
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
Abstract
The application relates to a method, a device, a server and a system for analyzing and processing smart television users, and belongs to the technical field of smart televisions. The application includes: acquiring an operation behavior record on an intelligent television remote controller and a corresponding response behavior record on an intelligent television UI interface; and configuring user images for the intelligent television according to the operation behavior record on the remote controller and the corresponding response behavior record on the UI interface of the intelligent television. According to the method and the device, the user portrait is formed based on the operation on the remote controller and the corresponding response on the UI of the intelligent television, and the user can be analyzed more accurately to improve the intelligent television service.
Description
Technical Field
The application belongs to the technical field of smart televisions, and particularly relates to a smart television user analysis processing method, a smart television user analysis processing device, a smart television user analysis processing server and a smart television user analysis processing system.
Background
The smart television is continuously popularized in life, and compared with the traditional television, the smart television can provide more functional services for users. In specific product application, the remote controller of the smart television is also changed greatly, the number of keys is generally simplified, and the number of keys of the remote controller of the smart television is less, so that the dependence of a user on the remote controller is increased. When a user watches service applications provided by the intelligent television, the user needs to operate the remote controller to select a program to be watched in cooperation with a UI (user interface) of the intelligent television.
However, in practical applications, the UI interface operation of the smart tv may not be convenient for some users, but may make them fog up. For example, taking an elder user as an example, the smart television can provide a very simple elder mode UI interface, for some elder users who like to try new things, the smart television UI interface is very skilled to operate, and the part of the elder users have the ability to configure the elder mode UI interface, but in practical application, the part of the elder users often do not choose to do so; for some old people users, it is difficult to receive new things, the basic functions of the smart television can be unfamiliar with the operation, and the old people users do not have the capability of configuring the old people mode UI.
Disclosure of Invention
In order to overcome the problems in the related art at least to a certain extent, the application provides a method, a device, a server and a system for analyzing and processing the smart television user, and the user portrait is formed through operation on a remote controller and corresponding response on a smart television UI interface, so that more accurate analysis of the user is facilitated to improve the smart television service.
In order to achieve the purpose, the following technical scheme is adopted in the application:
in a first aspect,
the application provides an intelligent television user analysis processing method, which comprises the following steps:
acquiring an operation behavior record on an intelligent television remote controller and a corresponding response behavior record on an intelligent television UI interface;
and configuring user images for the intelligent television according to the operation behavior record on the remote controller and the corresponding response behavior record on the UI interface of the intelligent television.
Further, wherein the operation behavior record on the remote controller comprises: operating the frequency of the remote controller, operating the key interval and the return operation of the remote controller;
if the remote controller is configured with an air mouse, the operation behavior record on the remote controller further comprises: movement, shaking and keying of the air mouse;
if the remote controller is configured with the pickup module, the operation behavior record on the remote controller further comprises: the frequency of use of pickup module.
Further, configuring a user image for the smart television according to the operation behavior record on the remote controller and the corresponding response behavior record on the UI interface of the smart television, wherein the configuring comprises the following steps:
according to the operation behavior record on the remote controller and the corresponding response behavior record on the UI interface of the intelligent television, constructing a user portrait with at least the following dimensional items through a deep learning model: proficiency and/or target accuracy and associating the obtained user image with the ID of the intelligent television.
Further, the method further comprises:
and providing the adaptive service on the intelligent television based on the user image configured by the intelligent television.
Further, based on the user image configured by the intelligent television, the adaptive service is provided on the intelligent television, and the service comprises the following steps:
and based on the user portrait configured by the intelligent television, when the user operates the remote controller, providing an adaptive intelligent television UI for the user according to the operation behavior record on the remote controller and the corresponding response behavior record on the intelligent television UI.
Further, based on the user image configured by the intelligent television, the adaptive service is provided on the intelligent television, and the service comprises the following steps:
and recommending the program to be watched for the user according to the operation behavior record on the remote controller and the corresponding response behavior record on the UI interface of the intelligent television when the user operates the remote controller based on the user portrait configured by the intelligent television.
Further, based on the user image configured by the intelligent television, the adaptive service is provided on the intelligent television, and the service comprises the following steps:
based on the user portrait configured by the intelligent television, when the user operates the remote controller, the adaptive operation mode is recommended for the user according to the operation behavior record on the remote controller and the corresponding response behavior record on the UI interface of the intelligent television.
In a second aspect of the present invention,
the application provides an intelligent television user analysis processing apparatus, includes:
the acquisition module is used for acquiring operation behavior records on the intelligent television remote controller and corresponding response behavior records on the intelligent television UI interface;
and the user portrait configuration module is used for configuring user portraits for the intelligent television according to the operation behavior records on the remote controller and the corresponding response behavior records on the UI interface of the intelligent television.
In a third aspect,
the application provides an intelligent television user analysis processing server, includes:
one or more memories having executable programs stored thereon;
one or more processors configured to execute the executable program in the memory to implement the steps of any of the methods described above.
In a fourth aspect of the present invention,
the application provides an intelligent television user analysis processing system, includes:
the intelligent television user analysis processing server is used for analyzing and processing the user data; and
and the intelligent television is connected with the intelligent television user analysis processing server.
This application adopts above technical scheme, possesses following beneficial effect at least:
according to the method and the device, based on the operation on the remote controller and the corresponding response on the UI interface of the intelligent television, the information such as classification and attribute embodied by the operation of the intelligent television by the user through the remote controller can be obtained, so that the user image is formed, the more accurate analysis of the user is facilitated, the more adaptive intelligent television service is provided for the user, and the intelligent television service is further improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart illustrating a smart tv user analysis processing method according to an exemplary embodiment;
fig. 2 is a flowchart illustrating a smart tv user analysis processing method according to another exemplary embodiment;
fig. 3 is a block diagram of an apparatus for analyzing and processing smart tv users according to an exemplary embodiment;
fig. 4 is a block diagram of an analysis processing server for a smart tv user according to an exemplary embodiment;
fig. 5 is a block diagram illustrating an exemplary system for analyzing and processing a user of a smart tv according to an exemplary embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail below. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a flowchart illustrating a smart tv user analysis processing method according to an exemplary embodiment, where as shown in fig. 1, the smart tv user analysis processing method includes the following steps:
s101, acquiring an operation behavior record on an intelligent television remote controller and a corresponding response behavior record on an intelligent television UI interface;
specifically, the smart television can provide more functional services for the user through the UI interface of the smart television. In specific product application, the operation of a remote controller of the smart television needs to be matched with a UI (user interface) of the smart television, the UI of the smart television is provided with navigation options of various service applications, and a user selects the needed television service application on the UI of the smart television through the remote controller. The operation of different users on the UI interface of the intelligent television through the remote controller is different, the difference is possibly even quite large, and some related information of the users can be reflected, for example, the misoperation of the intelligent television remote controller, the speed of selecting a menu and the like can be recorded through the UI interface of the television.
Wherein, the operation behavior record on the remote controller may include: the frequency of operating the remote control, the key interval and return operation of operating the remote control, etc.
Some users use the remote controller once for a long time, and some users start using the remote controller after a while, which represents the difference in the frequency of operating the remote controller by different users. For the key interval and the return operation of the remote controller, the key interval of the remote controller is smaller and the return operation is less for the user who is skilled in operation and clear in watching television program content, while the key interval of the remote controller is more likely to be longer and the return operation is more likely to be more for the user who is skilled in operation or unclear in watching television program content; and for users who are difficult to accept new things, the operation of the basic functions of the intelligent television may be unfamiliar, the user operates the intelligent television, the key interval for operating the remote controller is often long, the returning operation is more after the operation is wrong, and the like.
Further, if the remote controller is configured with an air mouse, the operation behavior record on the remote controller further includes: movement, shaking and pressing of the air mouse.
In the related art, the remote controller of the smart television may be configured with an air mouse, and a user may operate the UI interface of the smart television through the air mouse on the remote controller, for example, through movement, shaking and pressing of the air mouse on the UI interface of the smart television. The air mouse configuration for the smart television remote control is more variable than a traditional television remote control, and therefore, different users operating the remote control with the air mouse may have greater differences in the operation on the remote control and the corresponding response on the smart television UI interface. The air mouse operation of the remote controller is matched with the UI interface of the intelligent television, and the operation on the remote controller and the corresponding response record data on the UI interface of the intelligent television can be formed according to the moving speed of the air mouse cursor of the remote controller, the staying time of the air mouse cursor of the remote controller on the UI interface and the like.
Further, if the remote controller is configured with the pickup module, the operation behavior record on the remote controller further includes: the frequency of use of pickup module.
In the related technology, a remote controller of the smart television can be configured with a pickup module, a user can perform in-and-out operation on the smart television through a voice instruction, the operating condition of the user can be reflected by the using frequency of the pickup module, and jump change of a UI (user interface) of the smart television triggered after the voice instruction sent by the user through the pickup module is responded by the smart television can be used as corresponding response behavior record on the UI of the smart television.
And S102, configuring user images for the intelligent television according to the operation behavior record on the remote controller and the corresponding response behavior record on the UI interface of the intelligent television.
According to the operation behavior record on the remote controller and the corresponding response behavior record on the UI interface of the intelligent television, the relevant information on the operation of the user on the remote controller of the intelligent television can be reflected, and the information such as classification, attribute and the like embodied by the operation of the user on the intelligent television by using the remote controller can be obtained, so that a specific user portrait is formed, and the intelligent television can provide better service according to the user portrait.
In one embodiment, configuring a user image for the smart television according to an operation behavior record on a remote controller and a corresponding response behavior record on a UI interface of the smart television, comprises:
according to the operation behavior record on the remote controller and the corresponding response behavior record on the UI interface of the intelligent television, constructing a user portrait with at least the following dimensional items through a deep learning model: proficiency and/or target accuracy and associating the obtained user image with the ID of the intelligent television.
Specifically, the smart television collects operation behavior records on the remote controller and corresponding response behavior records on the UI interface of the smart television, uploads the records to the server after the records reach a certain number, and carries the unique ID of the smart television during uploading so as to distinguish different televisions. The server adopts a deep learning model, such as machine learning, neural network and other AI technologies, aiming at the analysis of the operation behavior record on the remote controller and the corresponding response behavior record on the UI interface of the intelligent television, and divides users according to multiple dimensions, such as proficiency, target accuracy and the like, for example, dividing proficient users, careless users and the like according to proficiency, dividing according to target accuracy, and users who clearly watch contents and users who do not browse for purpose. The method and the device are beneficial to more accurately analyzing the user, provide more adaptive intelligent television service for the user and further improve the intelligent television service.
Referring to fig. 2, fig. 2 is a flowchart illustrating a smart tv user analysis processing method according to another exemplary embodiment, and as shown in fig. 2, the smart tv user analysis processing method includes the following steps:
step S201, obtaining an operation behavior record on an intelligent television remote controller and a corresponding response behavior record on an intelligent television UI interface;
step S202, configuring a user image for the intelligent television according to the operation behavior record on the remote controller and the corresponding response behavior record on the UI interface of the intelligent television;
and S203, providing adaptive services on the intelligent television based on the user image configured by the intelligent television.
Steps S201 to S202 have already been described in the above related embodiments, and a description thereof will not be repeated. Through S201 to S202, information such as proficiency and/or target accuracy, which is embodied by the fact that a user operates the intelligent television through the remote controller, of classification, attributes and the like can be obtained, so that a user portrait which is specific to the fact that the user operates the intelligent television through the remote controller is formed, and then through S203, the intelligent television is enabled to provide adaptive services according to the user portrait.
In one embodiment, based on the user image configured by the intelligent television, the adaptive service is provided on the intelligent television, and the adaptive service comprises the following steps:
and based on the user portrait configured by the intelligent television, when the user operates the remote controller, providing an adaptive intelligent television UI for the user according to the operation behavior record on the remote controller and the corresponding response behavior record on the intelligent television UI.
Taking user portrayal in proficiency as an example, for users who are difficult to accept new things, the part of users not only include part of old people users, but also may include part of users who are not old people, the operation of the part of users on the basic functions of the intelligent television may be unfamiliar, and the proficiency of operating the intelligent television is low. After the server configures user portrait with low proficiency for the smart television, when the user operates the remote controller, the server can identify and judge the user according to operation behavior records formed by the user operating the remote controller and corresponding response behavior records on the UI interface of the smart television, and if the current operation user is judged to be an operation careless user, the UI interface of the smart television can be configured into a very simple interface by the server, for example, navigation of a television station is mainly configured on the UI interface.
In one embodiment, based on the user image configured by the intelligent television, the adaptive service is provided on the intelligent television, and the adaptive service comprises the following steps:
and recommending the program to be watched for the user according to the operation behavior record on the remote controller and the corresponding response behavior record on the UI interface of the intelligent television when the user operates the remote controller based on the user portrait configured by the intelligent television.
Taking a purposeless browsing-type user defined according to a target definition as an example, after the intelligent television is configured with a user portrait in the aspect, when the user operates the remote controller, the server can identify and judge the user according to an operation behavior record formed by the user operating the remote controller and a corresponding response behavior record on an intelligent television UI interface, if the current operating user is judged to be the purposeless browsing-type user, the server can analyze the program types possibly concerned by the user according to the key interval and the return operation of the operating remote controller, and if the key interval is smaller and the return operation is more, the program changing of the user can be indicated and not be concerned, and the server can eliminate the program changed by the user continuously and try to update other programs on the UI interface.
In one embodiment, based on the user image configured by the intelligent television, the adaptive service is provided on the intelligent television, and the adaptive service comprises the following steps:
based on the user portrait configured by the intelligent television, when the user operates the remote controller, the adaptive operation mode is recommended for the user according to the operation behavior record on the remote controller and the corresponding response behavior record on the UI interface of the intelligent television.
Specifically, the operation mode for recommending adaptation for the user may be that when the remote controller configures an air mouse, the user can be recommended to use the air mouse for operation according to the operation comparison of the user, so that the operation mode is more adaptive to the user; or, when the remote controller is configured with the sound pickup module, the user can be recommended to use voice operation according to the operation comparison of the user, so that the remote controller is more adaptive to the user.
Referring to fig. 3, fig. 3 is a block diagram illustrating an intelligent tv user analysis processing apparatus according to an exemplary embodiment, and as shown in fig. 3, the intelligent tv user analysis processing apparatus 3 includes:
the acquisition module 301 is configured to acquire an operation behavior record on the smart television remote controller and a corresponding response behavior record on the smart television UI interface;
and the user image configuration module 302 is used for configuring the user image for the intelligent television according to the operation behavior record on the remote controller and the corresponding response behavior record on the UI interface of the intelligent television.
Further, wherein the operation behavior record on the remote controller comprises: operating the frequency of the remote controller, operating the key interval and the return operation of the remote controller;
if the remote controller is configured with an air mouse, the operation behavior record on the remote controller further comprises: movement, shaking and keying of the air mouse;
if the remote controller is configured with the pickup module, the operation behavior record on the remote controller further comprises: the frequency of use of pickup module.
Further, the user representation configuration module 302 is specifically configured to:
according to the operation behavior record on the remote controller and the corresponding response behavior record on the UI interface of the intelligent television, constructing a user portrait with at least the following dimensional items through a deep learning model: proficiency and/or target accuracy and associating the obtained user image with the ID of the intelligent television.
Further, the apparatus 3 further comprises:
and the service providing module 303 is used for providing the adapted service on the intelligent television based on the user image configured by the intelligent television.
Further, the service providing module 303 is specifically configured to:
and based on the user portrait configured by the intelligent television, when the user operates the remote controller, providing an adaptive intelligent television UI for the user according to the operation behavior record on the remote controller and the corresponding response behavior record on the intelligent television UI.
Further, the service providing module 303 is specifically configured to:
and recommending the program to be watched for the user according to the operation behavior record on the remote controller and the corresponding response behavior record on the UI interface of the intelligent television when the user operates the remote controller based on the user portrait configured by the intelligent television.
Further, the service providing module 303 is specifically configured to:
based on the user portrait configured by the intelligent television, when the user operates the remote controller, the adaptive operation mode is recommended for the user according to the operation behavior record on the remote controller and the corresponding response behavior record on the UI interface of the intelligent television.
With regard to the smart tv user analysis processing apparatus 3 in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the related method, and will not be elaborated here.
Referring to fig. 4, fig. 4 is a block diagram illustrating an analysis processing server for smart tv users according to an exemplary embodiment, where, as shown in fig. 4, the analysis processing server 4 includes:
one or more memories 401 having executable programs stored thereon;
one or more processors 402 for executing the executable programs in the memory 401 to implement the steps of any of the methods described above.
With respect to the smart tv user analysis processing server 4 in the above embodiment, the specific manner of executing the program in the memory 401 by the processor 402 thereof has been described in detail in the embodiment of the related method, and will not be elaborated herein.
In practical applications, the smart tv user analysis processing server 4 may be embodied in the form of a plurality of independent servers 201, for example, divided into an operation data acquisition server and an operation data analysis processing server, where the operation data acquisition server is used to store operation behavior records on the smart tv remote controller and corresponding response behavior records on the smart tv UI interface; the operation data analysis processing server is used for configuring user images for the intelligent television according to operation behavior records on the remote controller and corresponding response behavior records on the UI interface of the intelligent television, and providing adaptive services on the intelligent television based on the user images configured by the intelligent television.
Referring to fig. 5, fig. 5 is a block diagram illustrating a user analysis processing system of an intelligent tv according to an exemplary embodiment, where as shown in fig. 5, the user analysis processing system 5 includes:
the intelligent television user analysis processing server 4 is used for analyzing and processing the user data; and
and the intelligent television 6 is connected with the intelligent television user analysis processing server 4.
The above-mentioned smart tv user analysis processing method implemented by the smart tv user analysis processing server 4 interacting with the smart tv 6 has been described in detail in the above-mentioned embodiment of the related method, and will not be described in detail here.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, in the description of the present application, the meaning of "plurality" means at least two unless otherwise specified.
It will be understood that when an element is referred to as being "secured to" or "disposed on" another element, it can be directly on the other element or intervening elements may also be present; when an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present, and further, as used herein, connected may include wirelessly connected; the term "and/or" is used to include any and all combinations of one or more of the associated listed items.
Any process or method descriptions in flow charts or otherwise described herein may be understood as: represents modules, segments or portions of code which include one or more executable instructions for implementing specific logical functions or steps of a process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware that is related to instructions of a program, and the program may be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a separate product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. An intelligent television user analysis processing method is characterized by comprising the following steps:
acquiring an operation behavior record on an intelligent television remote controller and a corresponding response behavior record on an intelligent television UI interface;
and configuring user images for the intelligent television according to the operation behavior records on the remote controller and the corresponding response behavior records on the UI interface of the intelligent television.
2. The method of claim 1, wherein the operational behavior record on a remote control comprises: operating the frequency of the remote controller, operating the key interval and the return operation of the remote controller;
if the remote controller is configured with an air mouse, the operation behavior record on the remote controller further comprises: movement, shaking and keying of the air mouse;
if the remote controller is configured with a pickup module, the operation behavior record on the remote controller further comprises: the frequency of use of the pickup module.
3. The method of claim 1, wherein configuring a user icon for the smart tv according to the operation behavior record on the remote controller and the corresponding response behavior record on the UI interface of the smart tv comprises:
according to the operation behavior record on the remote controller and the corresponding response behavior record on the UI interface of the intelligent television, constructing a user portrait of at least the following dimensional items through a deep learning model: proficiency and/or target accuracy and associating the obtained user image with the ID of the intelligent television.
4. The method of claim 1, further comprising:
and providing the adaptive service on the intelligent television based on the user image configured by the intelligent television.
5. The method according to claim 4, wherein the providing of the adapted service on the smart television based on the user image configured by the smart television comprises:
and based on the user portrait configured by the intelligent television, when the user operates the remote controller, providing an adaptive intelligent television UI (user interface) for the user according to the operation behavior record on the remote controller and the corresponding response behavior record on the intelligent television UI.
6. The method according to claim 4, wherein the providing of the adapted service on the smart television based on the user image configured by the smart television comprises:
and recommending the program to be watched for the user according to the operation behavior record on the remote controller and the corresponding response behavior record on the UI interface of the intelligent television when the user operates the remote controller on the basis of the user portrait configured by the intelligent television.
7. The method according to claim 4, wherein the providing of the adapted service on the smart television based on the user image configured by the smart television comprises:
based on the user portrait configured by the smart television, when the user operates the remote controller, an adaptive operation mode is recommended for the user according to the operation behavior record on the remote controller and the corresponding response behavior record on the UI interface of the smart television.
8. An intelligent television user analysis processing device is characterized by comprising:
the acquisition module is used for acquiring operation behavior records on the intelligent television remote controller and corresponding response behavior records on the intelligent television UI interface;
and the user portrait configuration module is used for configuring user portraits for the intelligent television according to the operation behavior records on the remote controller and the corresponding response behavior records on the UI interface of the intelligent television.
9. An intelligent television user analysis processing server, comprising:
one or more memories having executable programs stored thereon;
one or more processors configured to execute the executable program in the memory to implement the steps of the method of any one of claims 1-7.
10. An intelligent television user analysis processing system is characterized by comprising:
the intelligent tv user analysis processing server according to claim 9; and
and the intelligent television is connected with the intelligent television user analysis processing server.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110416701.3A CN113179440B (en) | 2021-04-19 | 2021-04-19 | Smart television user analysis processing method, device, server and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110416701.3A CN113179440B (en) | 2021-04-19 | 2021-04-19 | Smart television user analysis processing method, device, server and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113179440A true CN113179440A (en) | 2021-07-27 |
| CN113179440B CN113179440B (en) | 2022-09-30 |
Family
ID=76923598
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110416701.3A Active CN113179440B (en) | 2021-04-19 | 2021-04-19 | Smart television user analysis processing method, device, server and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113179440B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103561307A (en) * | 2013-10-30 | 2014-02-05 | 乐视致新电子科技（天津）有限公司 | Indication mode switching method and device based on browser |
| CN105516811A (en) * | 2015-12-16 | 2016-04-20 | 江苏惠通集团有限责任公司 | Smart television system |
| CN105554531A (en) * | 2015-12-16 | 2016-05-04 | 江苏惠通集团有限责任公司 | Media content push method and media content push system |
| CN109769130A (en) * | 2018-12-07 | 2019-05-17 | 广州市诚毅科技软件开发有限公司 | Remote controler customized setting method and system based on rating big data |
| CN111221710A (en) * | 2018-11-27 | 2020-06-02 | 北京搜狗科技发展有限公司 | Method, device and equipment for identifying user type |
-
2021
- 2021-04-19 CN CN202110416701.3A patent/CN113179440B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103561307A (en) * | 2013-10-30 | 2014-02-05 | 乐视致新电子科技（天津）有限公司 | Indication mode switching method and device based on browser |
| CN105516811A (en) * | 2015-12-16 | 2016-04-20 | 江苏惠通集团有限责任公司 | Smart television system |
| CN105554531A (en) * | 2015-12-16 | 2016-05-04 | 江苏惠通集团有限责任公司 | Media content push method and media content push system |
| CN111221710A (en) * | 2018-11-27 | 2020-06-02 | 北京搜狗科技发展有限公司 | Method, device and equipment for identifying user type |
| CN109769130A (en) * | 2018-12-07 | 2019-05-17 | 广州市诚毅科技软件开发有限公司 | Remote controler customized setting method and system based on rating big data |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113179440B (en) | 2022-09-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101639784B (en) | Information processing apparatus and information processing method | |
| US20140149920A1 (en) | Method and electronic device for switching application programs | |
| CN106162369A (en) | A kind of realize in virtual scene interactive method, Apparatus and system | |
| CN105657498A (en) | Video recording method and device of mobile terminal | |
| WO2012027643A2 (en) | Techniques to customize a media processing system | |
| CN103207728A (en) | Method Of Providing Augmented Reality And Terminal Supporting The Same | |
| CN111050203A (en) | Video processing method and device, video processing equipment and storage medium | |
| CN105872717A (en) | Video processing method and system, video player and cloud server | |
| CN101398842B (en) | System, apparatus and method for a theme and meta-data based media player | |
| CN109669697A (en) | A kind of the modularization methods of exhibiting and mobile terminal of contents list | |
| CN104182232A (en) | Method for establishing context-aware applications and user terminal | |
| CN104090921A (en) | Multi-media file playing method and device as well as terminal and server | |
| CN104053063A (en) | Intuitive image-based program guide for controlling display device | |
| JP2013210952A (en) | Information processing device, electronic device, information processing method, and program | |
| CN111601166A (en) | Method, device, storage medium and server for determining family member composition | |
| CN111124219A (en) | Communication terminal and card display method of negative screen interface | |
| CN112380420A (en) | Searching method and display device | |
| CN109714643A (en) | Recommended method, system and the server and storage medium of video data | |
| CN110366100A (en) | Localization method, positioning device, readable storage medium storing program for executing and the terminal device of terminal | |
| CN113495487A (en) | Terminal and method for adjusting operation parameters of target equipment | |
| CN111176766A (en) | Communication terminal and component display method | |
| CN114117225A (en) | Book recommendation method and book recommendation equipment | |
| CN113179440B (en) | Smart television user analysis processing method, device, server and system | |
| CN114143578A (en) | Food material reminding method, display device and server | |
| CN112929717B (en) | Focus management method and display device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |