CN104794115A - Application recommendation method and system - Google Patents
Application recommendation method and system Download PDFInfo
- Publication number
- CN104794115A CN104794115A CN201410020575.XA CN201410020575A CN104794115A CN 104794115 A CN104794115 A CN 104794115A CN 201410020575 A CN201410020575 A CN 201410020575A CN 104794115 A CN104794115 A CN 104794115A
- Authority
- CN
- China
- Prior art keywords
- applicating category
- application
- sequence
- mounted application
- applicating
- 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.)
- Pending
Links
Landscapes
- Stored Programmes (AREA)
Abstract
The invention provides an application recommendation method. The method includes the steps that installed applications in a terminal are scanned; the number and use time of the installed applications contained in application categories are obtained; the application categories are sorted according to the number of the installed applications, and a first sequence is obtained; the application categories are sorted according to the use time of the installed applications, and a second sequence is obtained; the corresponding application categories are extracted according o the first sequence and the second sequence; the applications under the extracted application categories are recommended. By the adoption of the application recommendation method, the applications recommended to a user are more targeted, and user operation time is saved; furthermore, the invention further provides an application recommendation system.
Description
Technical field
The present invention relates to networking technology area, particularly relate to a kind of application recommend method and system
Background technology
Along with the development of intelligent terminal, occurred a large amount of application for intelligent terminal (also referred to as application program, being called for short APP), user downloads the APP such as software or browser by some application and carrys out down load application.Download rate or the higher application of supporting rate are normally recommended user by traditional application recommend method, but, for certain user, download rate or the high application of supporting rate may not be that it is liked, user want to download oneself like one class application, still to search in a large amount of application, very inconvenient, too increase the time of user operation terminal, add the power consumption of terminal.
Summary of the invention
Based on this, be necessary for above-mentioned technical matters, provide a kind of and the application of recommendation can be made to have more targetedly, application recommend method and the system of user operation time can be saved.
A kind of application recommend method, described method comprises:
Scan the mounted application in terminal;
Obtain quantity and the service time of the described mounted application comprised in applicating category;
According to described quantity of having installed application, described applicating category is sorted, obtain First ray;
Service time according to described mounted application sorts to described applicating category, obtains the second sequence;
According to described First ray and applicating category corresponding to the second sequential extraction procedures;
Application under the applicating category of extraction is recommended.
A kind of application recommend method, described method comprises:
Scan the mounted application in terminal;
Obtain the attribute of the described mounted application comprised in applicating category;
Attribute according to described mounted application sorts to described applicating category;
Application under the applicating category of predetermined number the most forward for sequence is recommended.
A kind of application commending system, described system comprises:
Scan module, for scanning the mounted application in terminal;
Attribute acquisition module, for obtaining the attribute of the described mounted application comprised in applicating category;
Order module, for sorting to described applicating category according to the attribute of described mounted application;
Recommending module, for recommending the application under the applicating category of predetermined number the most forward for sequence.
Above-mentioned application recommend method and system, by scanning the mounted application in terminal, again according to the attribute of these mounted application, as quantity and the service time of application, the applicating category preset is sorted, thus the applicating category that can meet user preferences can be obtained, and then again user is recommended in the application under applicating category forward for sequence.The application recommended has more specific aim, saves the user operation time.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet applying recommend method in an embodiment;
Fig. 2 is the schematic flow sheet applying recommend method in another embodiment;
Fig. 3 is the structured flowchart applying commending system in an embodiment.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
Unless context separately has the description of specific distinct, the element in the present invention and assembly, the form that quantity both can be single exists, and form that also can be multiple exists, and the present invention does not limit this.Although the step in the present invention arranges with label, and be not used in and limit the precedence of step, the order of step or the execution of certain step need based on other steps unless expressly stated, otherwise the relative rank of step is adjustable.Be appreciated that term "and/or" used herein relates to and contains the one or more any and all possible combination in the Listed Items be associated.
As shown in Figure 1, in one embodiment, provide a kind of application recommend method, the method is illustrated to be applied to various can downloading and installing in the terminal of application, these terminals include but not limited to various desk-top computer, pocket computer on knee, personal digital assistant, panel computer, smart mobile phone, E-book reader, MP3(Moving Picture Experts Group Audio Layer III, dynamic image expert compression standard audio frequency aspect 3) or MP4(Moving Picture Experts Group Audio Layer IV, dynamic image expert compression standard audio frequency aspect 4) player etc.The method comprises:
Step 102, scans the mounted application in terminal.
For the terminal running different operating system, by running different functions to obtain the information of the mounted application file in terminal, the information of these application files comprises the title of application, icon, size and service time etc., can be determined the mounted application in terminal by these information.
In one embodiment, step 102 comprises: end of scan, obtains the information of the mounted application in terminal; The application of manual installation is gone out according to the information sifting of this mounted application.
Mounted application in terminal comprises the application of user's manual installation and the application of system prepackage.The application of manual installation more meets user preferences, therefore according to the application that should be used for determining to recommend of manual installation in terminal, can improve the accuracy of recommendation further.
Step 104, obtains the attribute of the mounted application comprised in applicating category.
Applicating category is the applicating category pre-set, be applied after can classifying to existing extensive application classification, and these applicating categories include but not limited to amusement class, tool-class, social class, music class, life kind, travelling class, sport category, navigation type, photography class, cuisines class etc.After can going out applicating category by server statistics, applicating category is issued to terminal.
Step 106, the attribute according to mounted application sorts to applicating category.
According to the quantity of the mounted application in the terminal comprised in applicating category or can sort to applicating category service time, the quantity of the mounted application comprised in applicating category is more, or service time is longer, then illustrate that this applicating category more meets needed for user.
In one embodiment, step 106 comprises: the quantity according to the mounted application comprised in applicating category sorts to applicating category, and wherein, the quantity of the mounted application comprised in applicating category is more, then the sequence of this applicating category is more forward.
In another embodiment, step 106 comprises: the service time according to the mounted application comprised in applicating category sorts to applicating category, wherein, the summation of the service time of the mounted application comprised in applicating category is longer, then the sequence of this applicating category is more forward.
In other embodiments, also according to the quantity of the mounted application comprised in applicating category and can sort to applicating category service time, quantity is more and the summation of service time is longer, then the sequence of this applicating category is more forward.
Step 108, recommends the application under the applicating category of predetermined number the most forward for sequence.
The application most probable sorted under more forward applicating category meets user preferences.Choose the applicating category of the most forward predetermined number of sequence, supporting rate under these applicating categories or the high application of download rate can be chosen further, these application chosen are recommended.For the applicating category of the most forward predetermined number of the sequence chosen, also can in turn the application under these applicating categories be recommended.
Concrete, the application under the applicating category of the most forward predetermined number of sequence can be chosen by server, these application are issued to terminal, show the application recommended by the instrument (as application market, browser etc.) that can be used for down load application in terminal with tabular form.
In one embodiment, the information of the mounted application in terminal can be gone out by terminal scanning, the information of mounted application is sent to server, the attribute of mounted application is wherein extracted by server, attribute according to the mounted application comprised in applicating category sorts to applicating category, then recommends the application under the applicating category of predetermined number forward for sequence to terminal.
In another embodiment, also the information of the mounted application in terminal can be gone out by terminal scanning, obtain the attribute of the mounted application comprised in applicating category, attribute according to mounted application sorts to applicating category, get the application the applicating category of the most forward predetermined number of sequence from server, and show recommendation in terminal.
In the present embodiment, owing to should be used for the applicating category determining to recommend according to mounted in terminal, from the applicating category that quantity is maximum or service time is the longest obtaining the mounted application comprised terminal, further the application under these applicating categories is recommended, the application recommended has more specific aim, when user wants to download the class application oneself liked, without the need to searching voluntarily or manual search, therefore, it is possible to save the user operation time.
In one embodiment, as shown in Figure 2, a kind of application recommend method, comprising:
Step 202, scans the mounted application in terminal.
In the present embodiment, also can filter out the application of manual installation in the mounted application in terminal.
Step 204, obtains quantity and the service time of the mounted application comprised in applicating category.
Step 206, the quantity according to the mounted application comprised in applicating category sorts to applicating category, obtains First ray.
Respectively have the mounted application in several terminals in each applicating category, such as, in the mounted application in terminal, the application of tool-class has 10, and the application of amusement class has 15.Quantity according to the mounted application comprised in applicating category sorts to applicating category, the quantity of the mounted application comprised is more, then the sequence of this applicating category is more forward, obtain First ray M [m1, m2, ], wherein m1 is the applicating category that the quantity of the mounted application comprised in terminal is maximum, by that analogy.
Step 208, the service time according to the mounted application comprised in applicating category sorts to applicating category, obtains the second sequence.
Obtain in each applicating category the information of the mounted application comprised, the summation of the mounted service time that each applicating category comprises is obtained according to the service time of comprised mounted application, according to the size of the summation of service time, applicating category is sorted, the summation of the service time of the mounted application comprised is longer, then the sequence of this applicating category is more forward, obtain the second sequence N [n1, n2, ], wherein, n1 is the applicating category that the summation of the service time of the mounted application comprised in terminal is the longest, by that analogy.
Step 210, extracts corresponding applicating category from First ray and the second sequence.
In one embodiment, in step 210, identical applicating category can be extracted from First ray and the second sequence.
Step 212, recommends the application under the applicating category of extraction.
Concrete, in step 212, can sort to the identical applicating category extracted according to the sequence of the identical applicating category extracted in First ray and/or the second sequence; And the application under the applicating category of the forward predetermined number that sorts in the identical applicating category extracted is recommended.
In one embodiment, identical applicating category can be extracted successively from First ray and the second sequence, then according to the order extracted, the identical applicating category extracted be sorted.In another embodiment, also can extract identical applicating category from First ray and the second sequence, then sort according to the applicating category that the sequence of this identical applicating category in First ray or the second sequence is identical to this.
Choose the applicating category of the most forward predetermined number of sequence, supporting rate under these applicating categories or the high application of download rate can be chosen further, these application chosen are recommended.For the applicating category of the most forward predetermined number (as 3) of the sequence chosen, also can in turn the application under these applicating categories be recommended.
Concrete, can be obtained sorting in identical applicating category by server the applicating category of forward predetermined number, and then the application found under these applicating categories, these application are pushed to terminal, is shown the application recommended by application software such as the application market in terminal or browsers.
In the present embodiment, owing to combining quantity and the service time of the mounted application in the terminal that comprises in applicating category, the applicating category determined is made more to meet user preferences, the application recommended can be made to have more specific aim, also improve the accuracy that application is recommended, save the user operation time.
As shown in Figure 3, in one embodiment, additionally provide a kind of application commending system, this system comprises:
Scan module 302, for scanning the mounted application in terminal.
Attribute acquisition module 304, for obtaining the attribute of the mounted application comprised in applicating category.
Order module 306, sorts to described applicating category for the attribute according to mounted application.
Recommending module 308, for recommending the application under the applicating category of predetermined number forward for sequence.
Terminal in the present embodiment, include but not limited to various desk-top computer, pocket computer on knee, personal digital assistant, panel computer, smart mobile phone, E-book reader, MP3(Moving Picture ExpertsGroup Audio Layer III, dynamic image expert compression standard audio frequency aspect 3) or MP4(MovingPicture Experts Group Audio Layer IV, dynamic image expert compression standard audio frequency aspect 4) player etc.
In one embodiment, scan module 302, for end of scan, obtains the information of the mounted application in terminal, goes out the application of manual installation according to the information sifting of mounted application.
Mounted application in terminal comprises the application of user's manual installation and the application of system prepackage.The application of manual installation more meets user preferences.Scan module 302 can be used for the information obtaining the mounted application file in terminal by running default function, the information of these application files comprises the title of application, icon, size and service time etc., can be determined the mounted application in terminal by these information.
In one embodiment, order module 306 is for sorting to applicating category according to the quantity of the mounted application comprised in applicating category, and wherein, the quantity of the mounted application comprised in applicating category is more, then the sequence of this applicating category is more forward.
In another embodiment, order module 306 is for according to sorting to applicating category the service time of the mounted application comprised in applicating category, wherein, the summation of the service time of the mounted application comprised in applicating category is longer, then the sequence of this applicating category is more forward.
In other embodiments, order module 306 is also for according to the quantity of the mounted application comprised in applicating category with sort to applicating category service time, and quantity is more and the summation of service time is longer, then the sequence of this applicating category is more forward.
In one embodiment, order module 306, for sorting to applicating category according to the quantity of the mounted application comprised in applicating category, obtains First ray.Order module 306 also for according to sorting to applicating category the service time of the mounted application comprised in applicating category, obtains the second sequence.
Concrete, in the present embodiment, order module 306 is for sorting to applicating category according to the quantity of the mounted application comprised in applicating category, and the quantity of the mounted application comprised is more, then the sequence of this applicating category is more forward.Order module 306 is also for obtaining the summation of the mounted service time that each applicating category comprises according to the service time of comprised mounted application, according to the size of the summation of service time, applicating category is sorted, the summation of the service time of the mounted application comprised is longer, then the sequence of this applicating category is more forward.
Further, in one embodiment, order module 306, also for extracting identical applicating category from First ray and the second sequence, sorts to the identical applicating category extracted according to the sequence of the identical applicating category extracted in First ray and/or the second sequence.
Concrete, order module 306 can be used for extracting identical applicating category successively from First ray and the second sequence, then sorts to the identical applicating category extracted according to the order extracted.Also can be used for extracting identical applicating category from First ray and the second sequence, then sort according to the applicating category that the sequence of this identical applicating category in First ray or the second sequence is identical to this.
Recommending module 308 is for recommending the application under the applicating category of the forward predetermined number that sorts in this identical applicating category.
Concrete, recommending module 308 can be used for the applicating category choosing the most forward predetermined number of sequence, can choose supporting rate under these applicating categories or the high application of download rate further, these application chosen be recommended.Or in turn the application under these applicating categories is recommended.
One of ordinary skill in the art will appreciate that all or part of flow process realized in above-described embodiment method, that the hardware that can carry out instruction relevant by computer program has come, described program can be stored in a computer read/write memory medium, as in the embodiment of the present invention, this program can be stored in the storage medium of computer system, and performed by least one processor in this computer system, to realize the flow process of the embodiment comprised as above-mentioned each side method.Wherein, described storage medium can be magnetic disc, CD, read-only store-memory body (Read-Only Memory, ROM) or random store-memory body (Random Access Memory, RAM) etc.
The above embodiment only have expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (16)
1. apply a recommend method, described method comprises:
Scan the mounted application in terminal;
Obtain quantity and the service time of the described mounted application comprised in applicating category;
According to described quantity of having installed application, described applicating category is sorted, obtain First ray;
Service time according to described mounted application sorts to described applicating category, obtains the second sequence;
According to described First ray and applicating category corresponding to the second sequential extraction procedures;
Application under the applicating category of extraction is recommended.
2. method according to claim 1, is characterized in that, described in scan the step of the mounted application in terminal, comprising:
End of scan, obtains the information of the mounted application in terminal;
The application of manual installation is gone out according to the information sifting of described mounted application.
3. method according to claim 1, is characterized in that, the described step according to described First ray and applicating category corresponding to the second sequential extraction procedures is:
Identical classification is extracted from described First ray and the second sequence.
4. method according to claim 3, is characterized in that, describedly the step that application under the applicating category of extraction is carried out recommending is comprised:
According to the sequence of the identical applicating category extracted in described First ray and/or the second sequence, the described identical applicating category extracted is sorted;
Application under the applicating category of the forward predetermined number that sorts in described identical applicating category is recommended.
5. apply a recommend method, described method comprises:
Scan the mounted application in terminal;
Obtain the attribute of the described mounted application comprised in applicating category;
Attribute according to described mounted application sorts to described applicating category;
Application under the applicating category of predetermined number the most forward for sequence is recommended.
6. method according to claim 5, is characterized in that, described in scan the step of the mounted application in terminal, comprising:
End of scan, obtains the information of the mounted application in terminal;
The application of manual installation is gone out according to the information sifting of described mounted application.
7. method according to claim 5, is characterized in that, the described step sorted to described applicating category according to the attribute of mounted application, comprising:
Quantity according to the described mounted application comprised in applicating category sorts to described applicating category, and wherein, the quantity of the described mounted application comprised in described applicating category is more, then the sequence of described applicating category is more forward.
8. method according to claim 5, is characterized in that, the described step sorted to described applicating category according to the attribute of mounted application, comprising:
Service time according to the described mounted application comprised in applicating category sorts to described applicating category, and wherein, the summation of the service time of the described mounted application comprised in described applicating category is longer, then the sequence of described applicating category is more forward.
9. method according to claim 5, is characterized in that, the described step sorted to described applicating category according to the attribute of mounted application, comprising:
Quantity according to the described mounted application comprised in applicating category sorts to described applicating category, obtains First ray;
Service time according to the described mounted application comprised in applicating category sorts to described applicating category, obtains the second sequence.
10. method according to claim 9, is characterized in that, described step of the application under the applicating category of predetermined number the most forward for sequence being carried out recommend, comprising:
Identical applicating category is extracted from described First ray and described second sequence;
According to the sequence of the described identical applicating category extracted in described First ray and/or the second sequence, the described identical applicating category extracted is sorted;
Application under the applicating category of the forward predetermined number that sorts in described identical applicating category is recommended.
11. 1 kinds of application commending systems, it is characterized in that, described system comprises:
Scan module, for scanning the mounted application in terminal;
Attribute acquisition module, for obtaining the attribute of the described mounted application comprised in applicating category;
Order module, for sorting to described applicating category according to the attribute of described mounted application;
Recommending module, for recommending the application under the applicating category of predetermined number the most forward for sequence.
12. systems according to claim 11, is characterized in that, described scan module is used for end of scan, obtain the information of the mounted application in terminal, go out the application of manual installation according to the information sifting of described mounted application.
13. systems according to claim 11, it is characterized in that, described order module is used for sorting to described applicating category according to the quantity of the described mounted application comprised in applicating category, wherein, the quantity of the described mounted application comprised in described applicating category is more, then the sequence of described applicating category is more forward.
14. systems according to claim 11, it is characterized in that, described order module is used for according to sorting to described applicating category the service time of the described mounted application comprised in applicating category, wherein, the summation of the service time of the described mounted application comprised in described applicating category is longer, then the sequence of described applicating category is more forward.
15. systems according to claim 11, is characterized in that, described order module is used for sorting to described applicating category according to the quantity of the described mounted application comprised in applicating category, obtains First ray; Described order module also for according to sorting to described applicating category the service time of the described mounted application comprised in applicating category, obtains the second sequence.
16. systems according to claim 15, it is characterized in that, described order module, also for extracting identical applicating category successively from described First ray and the second sequence, sorts to the described identical applicating category extracted according to the sequence of the described identical applicating category extracted in described First ray and/or the second sequence;
Described recommending module is also for recommending the application under the applicating category of the forward predetermined number that sorts in described identical applicating category.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410020575.XA CN104794115A (en) | 2014-01-16 | 2014-01-16 | Application recommendation method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410020575.XA CN104794115A (en) | 2014-01-16 | 2014-01-16 | Application recommendation method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104794115A true CN104794115A (en) | 2015-07-22 |
Family
ID=53558912
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410020575.XA Pending CN104794115A (en) | 2014-01-16 | 2014-01-16 | Application recommendation method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104794115A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105045910A (en) * | 2015-08-12 | 2015-11-11 | 北京金山安全软件有限公司 | Application candidate set generation method and device and service equipment |
| CN105224614A (en) * | 2015-09-17 | 2016-01-06 | 北京金山安全软件有限公司 | Application program classification display method and device |
| WO2017032265A1 (en) * | 2015-08-25 | 2017-03-02 | 北京金山安全软件有限公司 | Application push method and apparatus, and a serving device |
| CN106897727A (en) * | 2015-12-21 | 2017-06-27 | 百度在线网络技术（北京）有限公司 | A kind of user's gender identification method and device |
| CN107423308A (en) * | 2016-05-24 | 2017-12-01 | 华为技术有限公司 | subject recommending method and device |
| CN107563851A (en) * | 2017-08-23 | 2018-01-09 | 广东欧珀移动通信有限公司 | Using recommendation method, apparatus, terminal and storage medium |
| CN108494851A (en) * | 2018-03-21 | 2018-09-04 | 广东欧珀移动通信有限公司 | Application program recommends method, apparatus and mobile terminal |
| CN108804690A (en) * | 2018-06-14 | 2018-11-13 | 乐蜜有限公司 | Recommend method, apparatus, server and computer readable storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102591942A (en) * | 2011-12-27 | 2012-07-18 | 奇智软件（北京）有限公司 | Method and device for automatic application recommendation |
| CN103020846A (en) * | 2012-12-14 | 2013-04-03 | 百度在线网络技术（北京）有限公司 | Mobile application pushing method and system |
| CN103020845A (en) * | 2012-12-14 | 2013-04-03 | 百度在线网络技术（北京）有限公司 | Mobile application pushing method and system |
| CN103455522A (en) * | 2012-06-04 | 2013-12-18 | 北京搜狗科技发展有限公司 | Recommendation method and system of application extension tools |
| CN103455559A (en) * | 2011-12-27 | 2013-12-18 | 北京奇虎科技有限公司 | Method and device for automatically recommending application |
-
2014
- 2014-01-16 CN CN201410020575.XA patent/CN104794115A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102591942A (en) * | 2011-12-27 | 2012-07-18 | 奇智软件（北京）有限公司 | Method and device for automatic application recommendation |
| CN103455559A (en) * | 2011-12-27 | 2013-12-18 | 北京奇虎科技有限公司 | Method and device for automatically recommending application |
| CN103455522A (en) * | 2012-06-04 | 2013-12-18 | 北京搜狗科技发展有限公司 | Recommendation method and system of application extension tools |
| CN103020846A (en) * | 2012-12-14 | 2013-04-03 | 百度在线网络技术（北京）有限公司 | Mobile application pushing method and system |
| CN103020845A (en) * | 2012-12-14 | 2013-04-03 | 百度在线网络技术（北京）有限公司 | Mobile application pushing method and system |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105045910B (en) * | 2015-08-12 | 2019-04-05 | 北京金山安全软件有限公司 | Application candidate set generation method and device and service equipment |
| CN105045910A (en) * | 2015-08-12 | 2015-11-11 | 北京金山安全软件有限公司 | Application candidate set generation method and device and service equipment |
| WO2017032265A1 (en) * | 2015-08-25 | 2017-03-02 | 北京金山安全软件有限公司 | Application push method and apparatus, and a serving device |
| US10558447B2 (en) | 2015-08-25 | 2020-02-11 | Beijing Kingsoft Internet Security Software Co., Ltd | Application push method, and a service device |
| CN105224614A (en) * | 2015-09-17 | 2016-01-06 | 北京金山安全软件有限公司 | Application program classification display method and device |
| CN106897727A (en) * | 2015-12-21 | 2017-06-27 | 百度在线网络技术（北京）有限公司 | A kind of user's gender identification method and device |
| US20190087884A1 (en) | 2016-05-24 | 2019-03-21 | Huawei Technologies Co., Ltd. | Theme recommendation method and apparatus |
| CN107423308A (en) * | 2016-05-24 | 2017-12-01 | 华为技术有限公司 | subject recommending method and device |
| CN107423308B (en) * | 2016-05-24 | 2020-07-07 | 华为技术有限公司 | Theme recommendation method and device |
| US11830033B2 (en) | 2016-05-24 | 2023-11-28 | Huawei Technologies Co., Ltd. | Theme recommendation method and apparatus |
| CN107563851A (en) * | 2017-08-23 | 2018-01-09 | 广东欧珀移动通信有限公司 | Using recommendation method, apparatus, terminal and storage medium |
| CN108494851A (en) * | 2018-03-21 | 2018-09-04 | 广东欧珀移动通信有限公司 | Application program recommends method, apparatus and mobile terminal |
| CN108494851B (en) * | 2018-03-21 | 2019-06-25 | Oppo广东移动通信有限公司 | Application program recommended method, device and server |
| CN108804690A (en) * | 2018-06-14 | 2018-11-13 | 乐蜜有限公司 | Recommend method, apparatus, server and computer readable storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104794115A (en) | Application recommendation method and system | |
| CN103888837B (en) | A kind of video information method for pushing and device | |
| KR101343609B1 (en) | Apparatus and Method for Automatically recommending Application using Augmented Reality Data | |
| US9443147B2 (en) | Enriching online videos by content detection, searching, and information aggregation | |
| CN108268617B (en) | User intention determining method and device | |
| CN102054003B (en) | Methods and systems for recommending network information and creating network resource index | |
| CN103049515A (en) | Method, device and equipment for classifying application programs | |
| CN103092972A (en) | Searching method and device based on clue objects | |
| CN105573604A (en) | Classification method and device of application programs | |
| CN105808764A (en) | Recommended content display method and device | |
| CN104899220A (en) | Application program recommendation method and system | |
| CN104751354B (en) | A kind of advertisement crowd screening technique | |
| CN103295145A (en) | Mobile phone advertising method based on user consumption feature vector | |
| US20090327891A1 (en) | Method, apparatus and computer program product for providing a media content selection mechanism | |
| CN105898495A (en) | Method for pushing mobile terminal recommended information and mobile terminal | |
| CN104699700A (en) | Searching method and device | |
| CN107092609A (en) | A kind of information-pushing method and device | |
| CN109033441A (en) | A kind of method for pushing and device based on big data analysis | |
| CN104090904A (en) | Method and equipment for providing target search result | |
| KR20160043601A (en) | Device and method for recommendationing digital content | |
| CN106095816B (en) | Information delivery method and device | |
| CN103942328A (en) | Video retrieval method and video device | |
| CN103294507A (en) | Method and device for providing information of downloading resources | |
| CN106371706A (en) | Method and device for site selection of application shortcuts | |
| CN106557570A (en) | File management method and device under a kind of Android system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20150722 |
|
| RJ01 | Rejection of invention patent application after publication |