CN103902729A - Method and device for recommending application program - Google Patents
Method and device for recommending application program Download PDFInfo
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- CN103902729A CN103902729A CN201410149130.1A CN201410149130A CN103902729A CN 103902729 A CN103902729 A CN 103902729A CN 201410149130 A CN201410149130 A CN 201410149130A CN 103902729 A CN103902729 A CN 103902729A
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- 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
- G06F16/903—Querying
- G06F16/9032—Query formulation
- G06F16/90324—Query formulation using system suggestions
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Abstract
The invention provides a method and device for recommending an application program. The method includes the steps of obtaining description information of the same application program in application markets, assigning the weight on the basis of a preset assignment rule according to the description information, determining values of the application program according to the weight, and recommending the application program to users according to the values. By means of the method and device, assignment evaluation is carried out on the description information of the same application program in the multiple application markets, the application program evaluated to be optimal is recommended to the user, and inconvenience in selection and comparison when the users download the application program is avoided.
Description
Technical field
The present invention relates to field of computer technology, method and device that particularly a kind of application program is recommended.
Background technology
(application market also claims to apply shop to the various application markets that exist different developers to develop for terminal applies at present, it is the application service creating for terminal specially, allow user from application market, to browse and download some application programs for terminal development), can there is many difference in the same application program in different application markets, for example there is the difference of official version and unofficial version, version number's difference, signature is different etc., and the application market of most is not also done clearly explanation to the information of application software, the application program way of recommendation adopting has: divide into groups according to terminal system type, the version number upgrading according to application sorts, download according to application sorts or sorts by user's scoring.
The problem that prior art exists is, comparatively confusion of current end-use market does not have strict assessment examination, contains malice virus in some application program, and application message managerial confusion.The software program in application market is not assessed, can be offered a relatively optimum application program of user, so select while avoiding user's down load application program, inconvenience relatively.
Summary of the invention
The present invention is directed to the problems referred to above, proposed method and device that a kind of application program is recommended, select when avoiding user's down load application program, inconvenience relatively.
The invention provides a kind of application program recommend method, comprise the steps:
Obtain the descriptor of same application in each application market;
Give weight according to the content of descriptor according to default assignment rule;
Determine the score value of each application program according to weight;
According to score value to user's exemplary application program.
The device that the present invention also provides a kind of application program to recommend, comprises as lower module:
Acquisition module, for obtaining the descriptor of each application market same application;
Weight assignment module, for giving weight according to the content of descriptor according to default assignment rule;
Score value module, for determining the score value of each application program according to weight;
Recommending module, for according to score value to user's exemplary application program.
Beneficial effect of the present invention is as follows:
In numerous application markets, user needs could confirm after comparative analysis the application program of required download in the face of same application, and in the technical scheme providing in embodiments of the present invention, owing to obtaining the descriptor of same application in each application market, give weighted value according to the content of descriptor according to default assignment rule, according to score value to user's exemplary application program.So in the time that the descriptor in numerous application markets is carried out rational assignment assessment to same application, the optimum application program of assessment can be recommended to user, thereby inconvenience of selecting while having avoided user's down load application program, comparing.
Accompanying drawing explanation
Specific embodiments of the invention are described below with reference to accompanying drawings, wherein:
Fig. 1 is the method flow schematic diagram that in the embodiment of the present invention, application program is recommended;
Fig. 2 is the apparatus structure schematic diagram that in the embodiment of the present invention, application program is recommended.
Embodiment
In order to make technical scheme of the present invention and advantage clearer, below in conjunction with accompanying drawing, exemplary embodiment of the present invention is described in more detail, obviously, described embodiment is only a part of embodiment of the present invention, rather than all embodiment's is exhaustive.
Fig. 1 is the method flow schematic diagram that application program is recommended, and as shown in the figure, can comprise the steps:
Step 101: the descriptor of obtaining same application in each application market;
Step 102: give weight according to default assignment rule according to the content of descriptor;
Step 103: the score value of determining each application program according to weight;
Step 104: according to score value to user's exemplary application program.
In enforcement, the descriptor of application program, can comprise one of following descriptor or its combination: whether application program carries virus, whether application program has malice sexual behaviour, the version number of application program, the number of ads that application program comprises, the download of application program, the market priority of application program.In concrete enforcement, optional descriptor is not limited in this, for example can also increase user interface and use difficulty, user's evaluation etc., inventor determines that These parameters can meet most demands in practice, thereby has adopted these information in further implementing.
In enforcement, comprise that in descriptor whether application program carries virus and/or application program while whether having malice sexual behaviour, may further include:
Same application in each application market is detected to determine whether this application program carries virus and/or whether application program has malice sexual behaviour.
In enforcement, preliminary hearing assignment rule may further include one of following rule or its combination:
Not carrying virus and/or application program in application program does not recommend when malice sexual behaviour;
When identical in the version number of application program, the number of ads comprising according to application program is recommended;
In the time that the number of ads of application program is identical, the download comprising according to application program is recommended.
In enforcement, assignment rule can comprise one of following rule or its combination:
Carry virus and/or application program while having malice sexual behaviour in application program, the weight of giving makes this application program not in recommended range:
The version number of application program is newer, and the weight of giving is larger;
The number of ads of application program is fewer, and the weight of giving is larger;
The download of application program is larger, and the weight of giving is larger;
The market priority of application program is higher, and the weight of giving is larger;
Wherein, the possibility of the larger recommendation of weight is larger.
In order to understand better the use of aforesaid way, describe with example below.
First obtain in different application market, with the descriptor of a application program, be specially to carrying out virus and malice Sexual behavior investigation with a application program in different application market, using the application program of virus-free, the behavior that means no harm as the first recommended range.
Secondly, for application program (in the first recommended range) virus-free, the behavior that means no harm, obtain the build number in different markets with a application program, build number is higher newer, using the application program of latest edition as the second recommended range.
Again, while all there is latest edition with a application program in different market (in the second recommended range), utilize security protection software scans application program, obtain advertising message, advertising message few as high-quality application program recommended range, i.e. the 3rd recommended range.
Finally, for the application program in high-quality program recommended range (i.e. the 3rd recommended range), carry out download statistics, the highest application program of download is as the 4th recommended range; Exist when multiple for the highest application program of download, from the 4th recommended range, select the highest application program of corresponding market priority to recommend user according to default market priority.
In order to understand better enforcement of the present invention, describe with example more below.
In Android market, there is a application A in He Youyi market, wooden ant market, and the A version number in Android market is 11, and the A version number of wooden ant is 10, and the A version number in excellent hundred million markets is 11.
The latest edition of selecting application A, the middle version number that is He Youyi market, Android market is 11 A application program.
Further, analyze whether carrying advertisement of A application program, the A application program in Android market is adless, and the A application program in excellent hundred million markets has advertisement, and the application of selecting adless Android market offers user and uses.
Based on same inventive concept, a kind of application program recommendation apparatus is also provided in the embodiment of the present invention, because the principle that these equipment are dealt with problems is similar to a kind of method of application program recommendation, therefore the enforcement of these equipment can be referring to the enforcement of method, repeats part and repeat no more.
Fig. 2 is the apparatus structure schematic diagram that application program is recommended, and as shown in the figure, can comprise as lower module:
Recommending module 204, for according to score value to user's exemplary application program.
In enforcement, acquisition module 201 can be further used for obtaining the descriptor that comprises following descriptor one or a combination set of: whether application program carries virus, whether application program has malice sexual behaviour, the version number of application program, the number of ads that application program comprises, the download of application program, the market priority of application program.
Further, acquisition module 201 can be further used for comprising that in described descriptor whether application program carries virus and/or application program while whether having malice sexual behaviour, detects to determine the same application in each application market whether this application program carries virus and/or whether application program has malice sexual behaviour.
In enforcement, weight assignment module 202 can be further used for giving weight according to one of following default assignment rule or its combination:
Not carrying virus and/or application program in application program does not recommend when malice sexual behaviour;
When identical in the version number of application program, the number of ads comprising according to application program is recommended;
In the time that the number of ads of application program is identical, the download comprising according to application program is recommended.
Further, weight assignment module 202 can be further used for carrying out assignment according to one of following rule or its combination:
Carry virus and/or application program while having malice sexual behaviour in application program, the weight of giving makes this application program not in recommended range;
The version number of application program is newer, and the weight of giving is larger;
The number of ads of application program is fewer, and the weight of giving is larger;
The download of application program is larger, and the weight of giving is larger;
The market priority of application program is higher, and the weight of giving is larger;
Wherein, the possibility of the larger recommendation of weight is larger.
In sum, in the technical scheme providing in embodiments of the present invention, each factor of application program quality will be affected, as viral, malicious attack, version number, clutter, download, market priority etc., as right assessment index, comprehensive each index obtains total quality and assesses optimum application program, and the optimum application program of assessment is recommended to user, thereby has avoided user in the time of down load application program, to need the inconvenience of selecting, comparing.
Those skilled in the art should understand, embodiments of the invention can be provided as method or computer program.Therefore, the present invention can adopt complete hardware implementation example, completely implement software example or the form in conjunction with the embodiment of software and hardware aspect.And the present invention can adopt the form at one or more upper computer programs of implementing of computer-usable storage medium (including but not limited to magnetic disk memory, CD-ROM, optical memory etc.) that wherein include computer usable program code.
The present invention is with reference to describing according to process flow diagram and/or the block scheme of the method for the embodiment of the present invention, device (system) and computer program.Should understand can be by the flow process in each flow process in computer program instructions realization flow figure and/or block scheme and/or square frame and process flow diagram and/or block scheme and/or the combination of square frame.Can provide these computer program instructions to the processor of multi-purpose computer, special purpose computer, Embedded Processor or other programmable data processing device to produce a machine, the instruction that makes to carry out by the processor of computing machine or other programmable data processing device produces the device for realizing the function of specifying at flow process of process flow diagram or multiple flow process and/or square frame of block scheme or multiple square frame.
These computer program instructions also can be stored in energy vectoring computer or the computer-readable memory of other programmable data processing device with ad hoc fashion work, the instruction that makes to be stored in this computer-readable memory produces the manufacture that comprises command device, and this command device is realized the function of specifying in flow process of process flow diagram or multiple flow process and/or square frame of block scheme or multiple square frame.
These computer program instructions also can be loaded in computing machine or other programmable data processing device, make to carry out sequence of operations step to produce computer implemented processing on computing machine or other programmable devices, thereby the instruction of carrying out is provided for realizing the step of the function of specifying in flow process of process flow diagram or multiple flow process and/or square frame of block scheme or multiple square frame on computing machine or other programmable devices.
Although described the preferred embodiments of the present invention, once those skilled in the art obtain the basic creative concept of cicada, can make other change and modification to these embodiment.So claims are intended to be interpreted as comprising preferred embodiment and fall into all changes and the modification of the scope of the invention.
Obviously, those skilled in the art can carry out various changes and modification and not depart from the spirit and scope of the present invention the present invention.Like this, if within of the present invention these are revised and modification belongs to the scope of the claims in the present invention and equivalent technologies thereof, the present invention is also intended to comprise these changes and modification interior.
Claims (10)
1. the method that application program is recommended, is characterized in that, comprises the steps:
Obtain the descriptor of same application in each application market;
Give weight according to the content of descriptor according to default assignment rule;
Determine the score value of each application program according to weight;
According to score value to user's exemplary application program.
2. the method for claim 1, it is characterized in that, the descriptor of described application program, comprises one of following descriptor or its combination: whether application program carries virus, whether application program has malice sexual behaviour, the version number of application program, the number of ads that application program comprises, the download of application program, the market priority of application program.
3. method as claimed in claim 1 or 2, is characterized in that, described descriptor comprises that whether application program carries virus and/or application program while whether having malice sexual behaviour, further comprises:
Same application in each application market is detected to determine whether this application program carries virus and/or whether application program has malice sexual behaviour.
4. the method for claim 1, is characterized in that, described default assignment rule further comprises one of following rule or its combination:
Not carrying virus and/or application program in application program does not recommend when malice sexual behaviour;
When identical in the version number of application program, the number of ads comprising according to application program is recommended;
In the time that the number of ads of application program is identical, the download comprising according to application program is recommended.
5. the method as described in claim 1 or 4, is characterized in that, described assignment rule comprises one of following rule or its combination:
Carry virus and/or application program while having malice sexual behaviour in application program, the weight of giving makes this application program not in recommended range;
The version number of application program is newer, and the weight of giving is larger;
The number of ads of application program is fewer, and the weight of giving is larger;
The download of application program is larger, and the weight of giving is larger;
The market priority of application program is higher, and the weight of giving is larger;
Wherein, the possibility of the larger recommendation of weight is larger.
6. the device that application program is recommended, is characterized in that, comprises as lower module:
Acquisition module, for obtaining the descriptor of each application market same application;
Weight assignment module, for giving weight according to the content of descriptor according to default assignment rule;
Score value module, for determining the score value of each application program according to weight;
Recommending module, for according to score value to user's exemplary application program.
7. device as claimed in claim 6, it is characterized in that, described acquisition module is further used for obtaining the descriptor that comprises following descriptor one or a combination set of: whether application program carries virus, whether application program has malice sexual behaviour, the version number of application program, the number of ads that application program comprises, the download of application program, the market priority of application program.
8. the device as described in claim 6 or 7, it is characterized in that, described acquisition module is further used for comprising that in described descriptor whether application program carries virus and/or application program while whether having malice sexual behaviour, detects to determine the same application in each application market whether this application program carries virus and/or whether application program has malice sexual behaviour.
9. device as claimed in claim 6, is characterized in that, described weight assignment module is further used for giving weight according to one of following default assignment rule or its combination:
Not carrying virus and/or application program in application program does not recommend when malice sexual behaviour;
When identical in the version number of application program, the number of ads comprising according to application program is recommended;
In the time that the number of ads of application program is identical, the download comprising according to application program is recommended.
10. the device as described in claim 6 or 9, is characterized in that, described weight assignment module is further used for carrying out assignment according to one of following rule or its combination:
Carry virus and/or application program while having malice sexual behaviour in application program, the weight of giving makes this application program not in recommended range;
The version number of application program is newer, and the weight of giving is larger;
The number of ads of application program is fewer, and the weight of giving is larger;
The download of application program is larger, and the weight of giving is larger;
The market priority of application program is higher, and the weight of giving is larger;
Wherein, the possibility of the larger recommendation of weight is larger.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410149130.1A CN103902729A (en) | 2014-04-14 | 2014-04-14 | Method and device for recommending application program |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410149130.1A CN103902729A (en) | 2014-04-14 | 2014-04-14 | Method and device for recommending application program |
Publications (1)
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| CN103902729A true CN103902729A (en) | 2014-07-02 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201410149130.1A Pending CN103902729A (en) | 2014-04-14 | 2014-04-14 | Method and device for recommending application program |
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Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104090967A (en) * | 2014-07-16 | 2014-10-08 | 北京智谷睿拓技术服务有限公司 | Application program recommending method and device |
| WO2015007185A1 (en) * | 2013-07-19 | 2015-01-22 | 腾讯科技（深圳）有限公司 | Method and apparatus for recommending multimedia information |
| CN104504133A (en) * | 2014-12-31 | 2015-04-08 | 百度在线网络技术（北京）有限公司 | Application program recommending method and device |
| CN104699509A (en) * | 2015-03-26 | 2015-06-10 | 北京畅游天下网络技术有限公司 | Method and device for downloading application software |
| 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 |
| CN105095411A (en) * | 2015-07-09 | 2015-11-25 | 中山大学 | Method and system for predicting APP ranking based on App quality |
| CN105260458A (en) * | 2015-10-15 | 2016-01-20 | 海信集团有限公司 | Video recommendation method for display apparatus and display apparatus |
| CN105373887A (en) * | 2015-11-12 | 2016-03-02 | 腾讯科技（深圳）有限公司 | Quality evaluation method and system for terminal application |
| CN105389385A (en) * | 2015-12-04 | 2016-03-09 | 小米科技有限责任公司 | Application filtering method and apparatus |
| CN105989100A (en) * | 2015-02-12 | 2016-10-05 | 广东欧珀移动通信有限公司 | Method and device for recommending application |
| CN106060113A (en) * | 2016-05-10 | 2016-10-26 | 腾讯科技（深圳）有限公司 | Account push method and device |
| CN106101182A (en) * | 2016-05-27 | 2016-11-09 | 努比亚技术有限公司 | Application recommendation apparatus and method |
| CN106096035A (en) * | 2016-06-23 | 2016-11-09 | 维沃移动通信有限公司 | A kind of recommendation method of application program and mobile terminal |
| CN106095400A (en) * | 2016-05-26 | 2016-11-09 | 深圳市金立通信设备有限公司 | A kind of application program method for down loading and terminal, communication equipment |
| WO2017000743A1 (en) * | 2015-06-29 | 2017-01-05 | 中兴通讯股份有限公司 | Method and device for software recommendation |
| CN107194243A (en) * | 2017-05-25 | 2017-09-22 | 努比亚技术有限公司 | A kind of mobile terminal and the method for installing application program |
| CN107193829A (en) * | 2016-03-14 | 2017-09-22 | 百度在线网络技术（北京）有限公司 | Application program recommends method and apparatus |
| CN109242643A (en) * | 2018-09-30 | 2019-01-18 | 武汉斗鱼网络科技有限公司 | The method, apparatus and storage medium of game recommdation applied to live streaming platform |
| CN111523063A (en) * | 2019-02-01 | 2020-08-11 | 北京搜狗科技发展有限公司 | Application processing method and device and application processing device |
| CN111523063B (en) * | 2019-02-01 | 2024-06-07 | 北京搜狗科技发展有限公司 | Application processing method and device for application processing |
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Cited By (30)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015007185A1 (en) * | 2013-07-19 | 2015-01-22 | 腾讯科技（深圳）有限公司 | Method and apparatus for recommending multimedia information |
| CN104090967A (en) * | 2014-07-16 | 2014-10-08 | 北京智谷睿拓技术服务有限公司 | Application program recommending method and device |
| CN104090967B (en) * | 2014-07-16 | 2017-08-25 | 北京智谷睿拓技术服务有限公司 | Application program recommends method and recommendation apparatus |
| US10474827B2 (en) | 2014-07-16 | 2019-11-12 | Beijing Zhigu Rui Tuo Tech Co., Ltd | Application recommendation method and application recommendation apparatus |
| CN104504133A (en) * | 2014-12-31 | 2015-04-08 | 百度在线网络技术（北京）有限公司 | Application program recommending method and device |
| CN104504133B (en) * | 2014-12-31 | 2018-01-09 | 百度在线网络技术（北京）有限公司 | The recommendation method and device of application program |
| CN105989100A (en) * | 2015-02-12 | 2016-10-05 | 广东欧珀移动通信有限公司 | Method and device for recommending application |
| CN104699509A (en) * | 2015-03-26 | 2015-06-10 | 北京畅游天下网络技术有限公司 | Method and device for downloading application software |
| WO2017000743A1 (en) * | 2015-06-29 | 2017-01-05 | 中兴通讯股份有限公司 | Method and device for software recommendation |
| CN105095411A (en) * | 2015-07-09 | 2015-11-25 | 中山大学 | Method and system for predicting APP ranking based on App quality |
| CN105095411B (en) * | 2015-07-09 | 2018-08-24 | 中山大学 | A kind of APP rankings prediction technique and system based on APP mass |
| 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 |
| CN105260458A (en) * | 2015-10-15 | 2016-01-20 | 海信集团有限公司 | Video recommendation method for display apparatus and display apparatus |
| CN105373887A (en) * | 2015-11-12 | 2016-03-02 | 腾讯科技（深圳）有限公司 | Quality evaluation method and system for terminal application |
| CN105389385A (en) * | 2015-12-04 | 2016-03-09 | 小米科技有限责任公司 | Application filtering method and apparatus |
| CN105389385B (en) * | 2015-12-04 | 2019-02-15 | 小米科技有限责任公司 | Using filter method and device |
| CN107193829A (en) * | 2016-03-14 | 2017-09-22 | 百度在线网络技术（北京）有限公司 | Application program recommends method and apparatus |
| CN107193829B (en) * | 2016-03-14 | 2021-01-26 | 百度在线网络技术（北京）有限公司 | Application program recommendation method and device |
| CN106060113B (en) * | 2016-05-10 | 2019-07-02 | 腾讯科技（深圳）有限公司 | Account method for pushing and device |
| CN106060113A (en) * | 2016-05-10 | 2016-10-26 | 腾讯科技（深圳）有限公司 | Account push method and device |
| CN106095400A (en) * | 2016-05-26 | 2016-11-09 | 深圳市金立通信设备有限公司 | A kind of application program method for down loading and terminal, communication equipment |
| CN106101182A (en) * | 2016-05-27 | 2016-11-09 | 努比亚技术有限公司 | Application recommendation apparatus and method |
| CN106096035B (en) * | 2016-06-23 | 2019-11-26 | 维沃移动通信有限公司 | A kind of recommended method and mobile terminal of application program |
| CN106096035A (en) * | 2016-06-23 | 2016-11-09 | 维沃移动通信有限公司 | A kind of recommendation method of application program and mobile terminal |
| CN107194243A (en) * | 2017-05-25 | 2017-09-22 | 努比亚技术有限公司 | A kind of mobile terminal and the method for installing application program |
| CN107194243B (en) * | 2017-05-25 | 2020-06-09 | 南京白下高新技术产业园区投资发展有限责任公司 | Mobile terminal and method for installing application program |
| CN109242643A (en) * | 2018-09-30 | 2019-01-18 | 武汉斗鱼网络科技有限公司 | The method, apparatus and storage medium of game recommdation applied to live streaming platform |
| CN111523063A (en) * | 2019-02-01 | 2020-08-11 | 北京搜狗科技发展有限公司 | Application processing method and device and application processing device |
| CN111523063B (en) * | 2019-02-01 | 2024-06-07 | 北京搜狗科技发展有限公司 | Application processing method and device for application processing |
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Application publication date: 20140702 |