CN105307023A - Application recommending method and apparatus, and video recommending method and apparatus - Google Patents

Application recommending method and apparatus, and video recommending method and apparatus Download PDF

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Publication number
CN105307023A
CN105307023A CN201510727303.8A CN201510727303A CN105307023A CN 105307023 A CN105307023 A CN 105307023A CN 201510727303 A CN201510727303 A CN 201510727303A CN 105307023 A CN105307023 A CN 105307023A
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China
Prior art keywords
application
information aggregate
platform side
associated video
target application
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CN201510727303.8A
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CN105307023B (en
Inventor
刘致远
周燕红
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Beijing QIYI Century Science and Technology Co Ltd
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Beijing QIYI Century Science and Technology Co Ltd
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Priority to CN201510727303.8A priority Critical patent/CN105307023B/en
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    • 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
    • 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]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/251—Learning process for intelligent management, e.g. learning user preferences for recommending movies

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  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Computing Systems (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

The embodiments of the invention disclose an application recommending method and apparatus, and a video recommending method and apparatus. The video recommending method comprises the following steps: under the condition that it is determined that a user performs a user behavior targeted at an object application, determining an information set corresponding to at least one application correlated with the information set corresponding to the object application, wherein the information set corresponding to the application comprises identification information of the application at an application downloading platform side and identification information of a correlation video corresponding to the application at an application correlation video sharing platform side; according to the determined identification information of the video in the information set corresponding to the at least one application, determining the correlation video corresponding to the application at the correlation video sharing platform side; and the application downloading platform side recommending the determined video to the user. According to the technical scheme provided by the invention, the types of recommendation of each platform are increased, and at the time when the user selects recommending information of one platform, he can also select correlation information of another platform.

Description

Application recommend method, device and video recommendation method, device
Technical field
The present invention relates to internet arena, particularly apply recommend method, device and video recommendation method, device.
Background technology
Application download platform and application associated video sharing platform are all that user likes and a large amount of internet product used.But application download platform and application associated video sharing platform are independently systems, have no association each other.
Generally, when user creates user behavior in application download platform, such as, to browse, after down load application A, application download platform can according to the behavior record of the relevant information of the application in this platform and this user and other user, analyze the application relevant to A, then recommend user.
Same, such as, after when user creates user behavior at application associated video sharing platform, clicking, watching application associated video, application associated video sharing platform also can recommend associated videos of some other application to user.
Can find out, the recommendation kind of application download platform and application associated video sharing platform is more single, and user can only select the recommendation information of corresponding platform, may not select the relevant information of another platform.
Summary of the invention
The embodiment of the invention discloses application recommend method, device and video recommendation method, device, the problem that the kind for solving the recommendation of each platform is more single.Technical scheme is as follows:
Embodiment of the present invention first aspect provides a kind of video recommendation method, comprising:
Detect the user behavior of user in application download platform side for target application;
When the user behavior that user exists for target application being detected,
Determine to have with the information aggregate corresponding to target application correlation at least one apply corresponding to information aggregate, the information aggregate corresponding to an application comprises the identification information of the identification information of this application of application download platform side and the application associated video sharing platform side associated video corresponding with this application;
The identification information of the associated video corresponding with this application in information aggregate corresponding to determined, at least one application, determines the video that associated video sharing platform side is relevant to target application;
The determined video relevant to target application is recommended application download platform side direction user;
Wherein, determine to have with the information aggregate corresponding to target application correlation at least one apply corresponding to the method for information aggregate comprise:
Determine the size of the multi-feature vector of target application and each self-corresponding information aggregate of other application, wherein, multi-feature vector of each application comprise that M presets with this application characteristic of correspondence element, N number of default associated video characteristic of correspondence element corresponding with this application, M >=1, N >=1;
Wherein, comprise with application characteristic of correspondence element: the characteristic element determined according to the user behavior applying download platform side, and determine its size according to user behavior record; The associated video characteristic of correspondence element corresponding with application comprises: the characteristic element determined according to the user behavior applying associated video sharing platform side, and determines its size according to user behavior record;
According to the vector similarity computational methods preset, determine that the multi-feature vector of the information aggregate that target application is corresponding and other apply the similarity between the multi-feature vector of corresponding information aggregate;
If the similarity of the multi-feature vector of the information aggregate that the multi-feature vector of the information aggregate that arbitrary application is corresponding is corresponding with target application is greater than predetermined threshold value, then determine, between the information aggregate that the information aggregate of this application correspondence is corresponding with target application, there is correlation.
In a kind of preferred implementation of the present embodiment, describedly also to comprise with application characteristic of correspondence element: the characteristic element determined according to the relevant information applied, and preset its size.
In a kind of preferred implementation of the present embodiment, after the information aggregate corresponding to applying at least one determining to have with the information aggregate corresponding to target application correlation, also comprise:
The identification information of application in information aggregate corresponding to determined, at least one application, determines to apply the application relevant to target application of download platform side;
The determined application relevant to target application is recommended application download platform side direction user.
In a kind of preferred implementation of the present embodiment, vector similarity computational methods are selected from:
One in cosine similarity computational methods, Euclidean distance computational methods and Jie Kade distance calculating method.
Embodiment of the present invention second aspect provides a kind of application recommend method, comprising:
Detect the user behavior of user in application associated video sharing platform side for the associated video corresponding to target application;
When the user behavior that user exists for associated video corresponding to target application being detected,
Determine to have with the information aggregate corresponding to target application correlation at least one apply corresponding to information aggregate, the information aggregate corresponding to an application comprises the identification information of the identification information of this application of application download platform side and the application associated video sharing platform side associated video corresponding with this application;
The identification information of this application in information aggregate corresponding to determined, at least one application, determines to apply the application relevant to the associated video corresponding to target application of download platform side;
The determined application relevant to the associated video corresponding to target application is recommended application associated video sharing platform side direction user;
Wherein, determine to have with the information aggregate corresponding to target application correlation at least one apply corresponding to the method for information aggregate comprise:
Determine the size of the multi-feature vector of target application and each self-corresponding information aggregate of other application, wherein, multi-feature vector of each application comprise that M presets with this application characteristic of correspondence element, N number of default associated video characteristic of correspondence element corresponding with this application, M >=1, N >=1;
Wherein, comprise with application characteristic of correspondence element: the characteristic element determined according to the user behavior applying download platform side, and determine its size according to user behavior record; The associated video characteristic of correspondence element corresponding with application comprises: the characteristic element determined according to the user behavior applying associated video sharing platform side, and determines its size according to user behavior record;
According to the vector similarity computational methods preset, determine that the multi-feature vector of the information aggregate that target application is corresponding and other apply the similarity between the multi-feature vector of corresponding information aggregate;
If the similarity of the multi-feature vector of the information aggregate that the multi-feature vector of the information aggregate that arbitrary application is corresponding is corresponding with target application is greater than predetermined threshold value, then determine, between the information aggregate that the information aggregate of this application correspondence is corresponding with target application, there is correlation.
In a kind of preferred implementation of the present embodiment, describedly also to comprise with application characteristic of correspondence element: the characteristic element determined according to the relevant information applied, and preset its size.
In a kind of preferred implementation of the present embodiment, after the information aggregate corresponding to applying at least one determining to have with the information aggregate corresponding to target application correlation, also comprise:
The identification information of video in information aggregate corresponding to determined, at least one application, determine associated video sharing platform side relevant to the associated video corresponding to target application video;
The determined video relevant to the associated video corresponding to target application is recommended associated video sharing platform side direction user.
The embodiment of the present invention third aspect provides a kind of video recommendations device, it is characterized in that, comprising:
First user behavioral value module, for detecting the user behavior of user in application download platform side for target application;
First information set determination module, for user behavior that user exists for target application being detected in first user behavioral value module, determine to have with the information aggregate corresponding to target application correlation at least one apply corresponding to information aggregate, the information aggregate corresponding to an application comprises the identification information of the identification information of this application of lower application download platform side and the application associated video sharing platform side associated video corresponding with this application;
First video determination module, for the identification information of video in the information aggregate corresponding to determined, at least one application, determines the video that associated video sharing platform side is relevant to target application;
First video recommendations module, for recommending the determined video relevant to target application application download platform side direction user;
Wherein, first information set determination module comprises:
First multi-feature vector determination submodule, for determining the size of the multi-feature vector of target application and each self-corresponding information aggregate of other application wherein, multi-feature vector of each application comprise that M presets with this application characteristic of correspondence element, N number of default associated video characteristic of correspondence element corresponding with this application, M >=1, N >=1;
Wherein, comprise with application characteristic of correspondence element: the characteristic element determined according to the user behavior applying download platform side, and determine its size according to user behavior record; The associated video characteristic of correspondence element corresponding with application comprises: the characteristic element determined according to the user behavior applying associated video sharing platform side, and determines its size according to user behavior record;
First similarity calculating sub module, for according to the vector similarity computational methods preset, determines that the multi-feature vector of the information aggregate that target application is corresponding and other apply the similarity between the multi-feature vector of corresponding information aggregate;
First correlation determination submodule, if be greater than predetermined threshold value for the similarity of the multi-feature vector of the multi-feature vector of information aggregate corresponding to the arbitrary application information aggregate corresponding with target application, then determine, between the information aggregate that the information aggregate of this application correspondence is corresponding with target application, there is correlation.
In a kind of preferred implementation of the present embodiment, describedly also to comprise with application characteristic of correspondence element: the characteristic element determined according to the relevant information applied, and preset its size.
In a kind of preferred implementation of the present embodiment, also comprise: the first application determination module and the first application recommending module; Described first application determination module be used for described first information set determination module determines to have with the information aggregate corresponding to target application correlation at least one apply corresponding to information aggregate after,
The identification information of application in information aggregate corresponding to determined, at least one application, determines to apply the application relevant to target application of download platform side;
Described first application recommending module, for recommending the determined application relevant to target application application download platform side direction user.
In a kind of preferred implementation of the present embodiment, vector similarity computational methods are selected from:
One in cosine similarity computational methods, Euclidean distance computational methods and Jie Kade distance calculating method.
Embodiment of the present invention fourth aspect provides a kind of application recommendation apparatus, comprising:
Second user behavior detection module, for detecting the user behavior of user in application associated video sharing platform side for the associated video corresponding to target application;
Second information aggregate determination module, for user behavior that user exists for associated video corresponding to target application being detected at the second user behavior detection module, determine to have with the information aggregate corresponding to target application correlation at least one apply corresponding to information aggregate, the information aggregate corresponding to an application comprises the identification information of the identification information of this application of application download platform side and the application associated video sharing platform side associated video corresponding with this application;
Second application determination module, for the identification information of application in the information aggregate corresponding to determined, at least one application, determines to apply the application relevant to the associated video corresponding to target application of download platform side;
Second application recommending module, for recommending the determined application relevant to the associated video corresponding to target application application associated video sharing platform side direction user;
Wherein, the second information aggregate determination module comprises:
Second multi-feature vector determination submodule, for determining the size of the multi-feature vector of target application and each self-corresponding information aggregate of other application, wherein, multi-feature vector of each application comprise that M presets with this application characteristic of correspondence element, N number of default associated video characteristic of correspondence element corresponding with this application, M >=1, N >=1;
Wherein, comprise with application characteristic of correspondence element: the characteristic element determined according to the user behavior applying download platform side, and determine its size according to user behavior record; The associated video characteristic of correspondence element corresponding with application comprises: the characteristic element determined according to the user behavior applying associated video sharing platform side, and determines its size according to user behavior record;
Second similarity calculating sub module, for according to the vector similarity computational methods preset, determines that the multi-feature vector of the information aggregate that target application is corresponding and other apply the similarity between the multi-feature vector of corresponding information aggregate;
Second correlation determination submodule, if be greater than predetermined threshold value for the similarity of the multi-feature vector of the multi-feature vector of information aggregate corresponding to the arbitrary application information aggregate corresponding with target application, then determine, between the information aggregate that the information aggregate of this application correspondence is corresponding with target application, there is correlation.
In a kind of preferred implementation of the present embodiment, describedly also to comprise with application characteristic of correspondence element: the characteristic element determined according to the relevant information applied, and preset its size.
In a kind of preferred implementation of the present embodiment, also comprise: the second video determination module and the second video recommendations module; Described second video determination module be used for the second information aggregate determination module determines to have with the information aggregate corresponding to target application correlation at least one apply corresponding to information aggregate after, the identification information of video in information aggregate corresponding to determined, at least one application, determines the video that associated video sharing platform side is relevant to the associated video corresponding to target application;
Described second video recommendations module, for recommending the determined video relevant to the associated video corresponding to target application associated video sharing platform side direction user.
Technical scheme of the present invention, is integrated in an information aggregate corresponding to application by the identification information of associated video corresponding with this application with application associated video sharing platform side for the identification information of the application of application download platform side; And determine the correlation between the set that each application is corresponding.
Like this, in application download platform side, when the user behavior that user exists for target application being detected, can determine to have with the information aggregate corresponding to target application correlation at least one apply corresponding to information aggregate, and then determine the video that has in the information aggregate of correlation, recommend the determined video relevant to target application application download platform side direction user.
In like manner, in application associated video sharing platform side, when the user behavior that user exists for associated video corresponding to target application being detected, can determine that the information aggregate corresponding with target application has the application in the information aggregate of correlation, and recommend the determined application relevant to the associated video corresponding to target application application associated video sharing platform side direction user.
Visible, technical scheme of the present invention, can increase the kind of the recommendation of each platform, and user, while the recommendation information of a selection platform, can also select the relevant information of another platform.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
A kind of video recommendation method flow chart that Fig. 1 provides for the embodiment of the present invention;
The one application recommend method flow chart that Fig. 2 provides for the embodiment of the present invention;
A kind of video recommendations apparatus structure schematic diagram that Fig. 3 provides for the embodiment of the present invention;
The one application recommendation apparatus structural representation that Fig. 4 provides for the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
First, embodiments provide a kind of video recommendation method, the executive agent of the method can be a device can applying that video is recommended in download platform thruster, this device can be positioned at application download platform side, also can be positioned at application associated video sharing platform side, can also be positioned at be different from application download platform and should with the third-party platform side of application associated video sharing platform.Said application associated video sharing platform has some videos relevant to application, and user can watch video corresponding to some oneself interested application on the platform.It is game download platform that application download platform is more typically applied, and it is game associated video sharing platform that application associated video sharing platform is more typically applied.User can at game download platform download games A, can to browse, watch and play the relevant video of A at game associated video sharing platform.
As shown in Figure 1, the method can comprise:
S101, detects the user behavior of user in application download platform side for target application;
Said " in application download platform side for the user behavior of target application " comprising: user in application download platform side for the browsing of application, download and other the behavior relevant to application.
S102, when the user behavior that user exists for target application being detected,
Determine to have with the information aggregate corresponding to target application correlation at least one apply corresponding to information aggregate, the information aggregate corresponding to an application comprises the identification information of the identification information of this application of application download platform side and the application associated video sharing platform side associated video corresponding with this application.
For realizing recommending video in the thruster of application download platform, the application of application download platform side and the corresponding relation of the associated video of application associated video sharing platform this application of side to be set up in advance, namely determine the information aggregate corresponding to applying.The identification information of application and the identification information of this application associated video can be comprised in this set.Said identification information at least comprises title and the ID of application or video.Determine that the scheme of the information aggregate corresponding to applying can adopt the related art scheme of prior art to realize, the present invention does not do concrete restriction at this.Such as, the each video corresponding to an application can be determined according to video exercise question, video tab, video speech information etc. in application associated video platform side, and determine the identification information of each video, determine the identification information of this application again from application download platform side, then each identification information combination is obtained the information aggregate of this application correspondence.
After determining target application and each self-corresponding information aggregate of other application, need further to determine to have with the information aggregate corresponding to target application correlation at least one apply corresponding to information aggregate.
In actual applications, at least one determining to have with the information aggregate corresponding to target application correlation said apply corresponding to the method for information aggregate can comprise:
Determine the size of the multi-feature vector of target application and each self-corresponding information aggregate of other application, wherein, multi-feature vector of each application comprise that M presets with application characteristic of correspondence element, N number of default associated video characteristic of correspondence element corresponding with this application, M >=1, N >=1; Comprise with application characteristic of correspondence element: the characteristic element determined according to the user behavior applying download platform side, and determine its size according to user behavior record; The associated video characteristic of correspondence element corresponding with application comprises: the characteristic element determined according to the user behavior applying associated video sharing platform side, and determines its size according to user behavior record.
According to the vector similarity computational methods preset, determine that the multi-feature vector of the information aggregate that target application is corresponding and other apply the similarity between the multi-feature vector of corresponding information aggregate;
If the similarity of the multi-feature vector of the information aggregate that the multi-feature vector of the information aggregate that arbitrary application is corresponding is corresponding with target application is greater than predetermined threshold value, then determine, between the information aggregate that the information aggregate of this application correspondence is corresponding with target application, there is correlation.
It should be noted that, multi-feature vector and the similarity of itself of the information aggregate that target application is corresponding are maximum, are bound to be greater than predetermined threshold value, therefore, and the information aggregate that target application is corresponding and itself there is correlation.
Application and the information with application associated video is contained owing to applying corresponding information aggregate, therefore, the multi-feature vector of information aggregate also comprises two parts characteristic element, a part is application characteristic of correspondence element, another part is video characteristic of correspondence element, and such multi-feature vector better can embody the feature of information aggregate.It should be noted that, the number of two-part characteristic element can be determined by those skilled in the art, and the present invention does not need to limit at this.
Can comprise for application characteristic of correspondence element: the characteristic element determined according to the user behavior applying download platform side by those skilled in the art, and determine its size according to user behavior record; When according to user behavior determination characteristic element, can not consider that the otherness between user is determined, such as, can comprise with application characteristic of correspondence element: apply viewed number of times, apply the number of times be downloaded, apply by the number of times of marking etc.In this case, the size of these characteristic elements, the score value namely representated by these characteristic elements also can rely on historical experience to be determined by those skilled in the art, and such as, apply once viewed, the size that can set this characteristic element is 1.
Also can consider that the otherness between user is determined and application characteristic of correspondence element.Such as, characteristic element can comprise: user A downloads browse application, and user B downloads browse application etc., same, the size of these characteristic elements, the score value namely representated by these characteristic elements also can rely on historical experience to be determined by those skilled in the art.Such as, the size that user A downloads browse application is 5, and the size that user B downloads browse application is 10.
Same, the associated video characteristic of correspondence element corresponding with application is comprised: the characteristic element determined according to the user behavior applying associated video sharing platform side, and determine its size according to user behavior record.Similar, also can consider that otherness between user is to determine characteristic element, also can not consider that otherness between user is to determine characteristic element.
Such as, when not considering the otherness between user, characteristic element can comprise: associated video is by the number of times watched, and associated video is by number of times of commenting on etc.When considering the otherness between user, if the video that application A is correlated with has three, be video 1 respectively, video 2 and video 3, characteristic element can comprise: user A have viewed video 1, and user B have viewed video 2, and user C has commented on video 3 etc.
In actual applications, can also comprise with application characteristic of correspondence element: the characteristic element determined according to the relevant information applied, and preset its size.This type of characteristic element can comprise: theme of the type of application, the developer of application, application etc., same, also can distribute certain score value for these characteristic elements.
It should be noted that, the dimension of the multi-feature vector of the information aggregate that each application is corresponding is consistent, and that is, the number of the element that multi-feature vector comprises is consistent.
For the computational methods of vector similarity, adopt the computational methods that this area is conventional, such as, can cosine similarity computational methods, Euclidean distance computational methods, Pearson correlation coefficients computational methods or Jie Kade distance calculating method be used.
Said predetermined threshold value can be tried according to Similarity Measure public affairs and rely on historical experience to determine by those skilled in the art, and predetermined threshold value itself should not form the restriction to technical solution of the present invention.
S103, the identification information of the associated video corresponding with this application in the information aggregate corresponding to determined, at least one application, determines the video that associated video sharing platform side is relevant to target application.
After determining information aggregate corresponding to the application with the information aggregate corresponding to target application with correlation, just can determine the identification information of the video in the information aggregate that these application are corresponding, and the video corresponding to these identification informations is defined as at the associated video sharing platform side video relevant to target application.
S104, recommends the determined video relevant to target application application download platform side direction user.
The specific implementation of this step can adopt the related art scheme of prior art to realize.No further details to be given herein in the present invention.
In actual applications, determined all videos, while user's exemplary application, can be recommended to user by application download platform side, also further can filter out some videos to recommend to user according to some conditions.The condition of screening can be screened according to the temperature etc. of video.
Visible, adopt method as shown in Figure 1, the identification information of associated video corresponding with this application with application associated video sharing platform side for the identification information of the application of application download platform side is integrated in an information aggregate corresponding to application; And determine the correlation between the set that each application is corresponding.
Like this, in application download platform side, when the user behavior that user exists for target application being detected, can determine to have with the information aggregate corresponding to target application correlation at least one apply corresponding to information aggregate, and then determine the video that has in the information aggregate of correlation, recommend determined with target application associated video application download platform side direction user.
Except recommending determined video application download platform side direction user, can also further to user's exemplary application, concrete, its implementation can be as follows: determine to have with the information aggregate corresponding to target application correlation in step S102 at least one apply corresponding to information aggregate after, also comprise:
The identification information of application in information aggregate corresponding to determined, at least one application, determines to apply the application relevant to target application of download platform side; Be defined as in the application relevant to target application of application download platform side by the application corresponding to identification information.
The determined application relevant to target application is recommended application download platform side direction user.
In actual application, application download platform side can adopt the way of recommendation of prior art to come to user's exemplary application, adopt technical scheme of the present invention to recommend video to user simultaneously, further, also adopt technical scheme of the present invention to come to user's exemplary application;
Application download platform side can also only adopt technical scheme of the present invention recommend video to user and adopt technical scheme of the present invention to come to user's exemplary application.
More typically apply with of applying associated video sharing platform to apply download platform below: download platform of playing and associated video sharing platform of playing, be further described technical scheme of the present invention.
When user has downloaded game a in game download platform, just can determine that the information aggregate corresponding with game a has at least one corresponding information aggregate of playing of correlation, supposition here only has the information aggregate of the game b information aggregate corresponding with game a to have correlation.And include the mark of game a in information aggregate corresponding to game a, and the identification information of relevant to a two videos a1, a2.The mark of game b is included in the information aggregate that game b is corresponding, and the identification information of relevant to b two videos b1, b2.So just according to the identification information of a1, a2, b1, b2, corresponding video can be determined in game associated video sharing platform side, and all or part of recommending application download platform side direction user.Further, can also at game download platform side direction user recommended games b.
The embodiment of the present invention additionally provides a kind of application recommend method, the executive agent of the method can be a kind of application recommendation apparatus, this device can be positioned at application download platform side, also can be positioned at application associated video sharing platform side, can also be positioned at be different from application download platform and should with the third-party platform side of associated video sharing platform.
As shown in Figure 2, the method can comprise:
S201, detects the user behavior of user in application associated video sharing platform side for the associated video corresponding to target application;
S202, when the user behavior that user exists for associated video corresponding to target application being detected,
Determine to have with the information aggregate corresponding to target application correlation at least one apply corresponding to information aggregate, the information aggregate corresponding to an application comprises the identification information of the identification information of this application of application download platform side and the application associated video sharing platform side associated video corresponding with this application;
S203, the identification information of application in the information aggregate corresponding to determined, at least one application, determine to apply download platform side relevant to the associated video corresponding to target application application;
After determining information aggregate corresponding to the application with the information aggregate corresponding to target application with correlation, just can determine the identification information applied in the information aggregate that these application are corresponding, and the application corresponding to these identification informations is defined as in the application relevant to the associated video corresponding to target application of application download platform side.
S204, recommends the determined application relevant to the associated video corresponding to target application application associated video sharing platform side direction user;
In actual applications, determined all application, while recommending video to user, can be recommended to user, also can further filter out some according to some conditions and should be used for recommending to user by application associated video sharing platform side.The condition of screening can be screened according to the temperature etc. of application.
Wherein, determine to have with the information aggregate corresponding to target application correlation at least one apply corresponding to the method for information aggregate comprise:
Determine the size of the multi-feature vector of target application and each self-corresponding information aggregate of other application, wherein, multi-feature vector of each application comprise that M presets with this application characteristic of correspondence element, N number of default associated video characteristic of correspondence element corresponding with this application, M >=1, N >=1;
Wherein, comprise with application characteristic of correspondence element: the characteristic element determined according to the user behavior applying download platform side, and determine its size according to user behavior record; The associated video characteristic of correspondence element corresponding with application comprises: the characteristic element determined according to the user behavior applying associated video sharing platform side, and determines its size according to user behavior record;
According to the vector similarity computational methods preset, determine that the multi-feature vector of the information aggregate that target application is corresponding and other apply the similarity between the multi-feature vector of corresponding information aggregate;
If the similarity of the multi-feature vector of the information aggregate that the multi-feature vector of the information aggregate that arbitrary application is corresponding is corresponding with target application is greater than predetermined threshold value, then determine, between the information aggregate that the information aggregate of this application correspondence is corresponding with target application, there is correlation.
It should be noted that, multi-feature vector and the similarity of itself of the information aggregate that target application is corresponding are maximum, are bound to be greater than predetermined threshold value, therefore, and the information aggregate that target application is corresponding and itself there is correlation.
In some embodiments of the method, also comprise with application characteristic of correspondence element: the characteristic element determined according to the relevant information applied, and preset its size.
In other embodiments of the method, vector similarity computational methods can be selected from:
One in cosine similarity computational methods, Euclidean distance computational methods, Pearson correlation coefficients computational methods and Jie Kade distance calculating method.
Visible, adopt method as shown in Figure 2, the identification information of associated video corresponding with this application with application associated video sharing platform side for the identification information of the application of application download platform side is integrated in an information aggregate corresponding to application; And determine the correlation between the set that each application is corresponding.
In application associated video sharing platform side, when the user behavior that user exists for associated video corresponding to target application being detected, can determine that the information aggregate corresponding with target application has the application in the information aggregate of correlation, and recommend the determined application relevant to the associated video corresponding to target application application associated video sharing platform side direction user.
In actual applications, except recommending determined application at application associated video sharing platform to user, can also recommend video to user, its implementation can be as follows:
In step S202, determine to have with the information aggregate corresponding to target application correlation at least one apply corresponding to information aggregate after, also comprise:
The identification information of video in information aggregate corresponding to determined, at least one application, determines the video that associated video sharing platform side is relevant to the associated video corresponding to target application; The associated video sharing platform side video relevant to the associated video corresponding to target application is defined as by the video corresponding to identification information.
The determined video relevant to the associated video corresponding to target application is recommended application associated video sharing platform side direction user.
In actual application, associated video sharing platform side can adopt the way of recommendation of prior art to recommend video to user, adopt technical scheme of the present invention to come to user's exemplary application simultaneously, further, also adopt technical scheme of the present invention to recommend video to user;
Application associated video sharing platform side can also only adopt technical scheme of the present invention recommend video to user and adopt technical scheme of the present invention to come to user's exemplary application.
It should be noted that, each embodiment corresponding to above-mentioned video recommendation method, can implement separately also partly or entirely can combine enforcement, concrete execution mode is determined by those skilled in the art, and the present invention is in this no limit.Same, each embodiment corresponding to above-mentioned application recommend method, can implement separately also partly or entirely can combine enforcement, concrete execution mode is determined by those skilled in the art, and the present invention is in this no limit.
Corresponding to the method shown in Fig. 1, the embodiment of the present invention additionally provides a kind of video recommendations device, as shown in Figure 3, can comprise:
First user behavioral value module 101, for detecting the user behavior of user in application download platform side for target application;
First information set determination module 102, for user behavior that user exists for target application being detected in first user behavioral value module 101, determine to have with the information aggregate corresponding to target application correlation at least one apply corresponding to information aggregate, the information aggregate corresponding to an application comprises the identification information of the identification information of this application of application download platform side and the application associated video sharing platform side associated video corresponding with this application;
First video determination module 103, for the identification information of the associated video corresponding with this application in the information aggregate corresponding to determined, at least one application, determines the video that associated video sharing platform side is relevant to target application;
First video recommendations module 104, for recommending the determined video relevant to target application application download platform side direction user;
Wherein, first information set determination module 102 can comprise:
First multi-feature vector determination submodule, for determining the size of the multi-feature vector of target application and each self-corresponding information aggregate of other application, wherein, multi-feature vector of each application comprise that M presets with this application characteristic of correspondence element, N number of default associated video characteristic of correspondence element corresponding with this application, M >=1, N >=1;
Wherein, comprise with application characteristic of correspondence element: the characteristic element determined according to the user behavior applying download platform side, and determine its size according to user behavior record; The associated video characteristic of correspondence element corresponding with application comprises: the characteristic element determined according to the user behavior applying associated video sharing platform side, and determines its size according to user behavior record;
First similarity calculating sub module, for according to the vector similarity computational methods preset, determines that the multi-feature vector of the information aggregate that target application is corresponding and other apply the similarity between the multi-feature vector of corresponding information aggregate;
First correlation determination submodule, if be greater than predetermined threshold value for the similarity of the multi-feature vector of the multi-feature vector of information aggregate corresponding to the arbitrary application information aggregate corresponding with target application, then determine, between the information aggregate that the information aggregate of this application correspondence is corresponding with target application, there is correlation.
In some embodiments of this device, describedly also to comprise with application characteristic of correspondence element: the characteristic element determined according to the relevant information applied, and preset its size.
In other embodiments of this device, also comprise: the first application determination module and the first application recommending module; Described first application determination module be used for first information set determination module 102 determines to have with the information aggregate corresponding to target application correlation at least one apply corresponding to information aggregate after, the identification information of application in information aggregate corresponding to determined, at least one application, determines to apply the application relevant to target application of download platform side; Described first application recommending module, for recommending the determined application relevant to target application application download platform side direction user.
In some embodiments again of this device, vector similarity computational methods can be selected from:
One in cosine similarity computational methods, Euclidean distance computational methods, Pearson correlation coefficients computational methods and Jie Kade distance calculating method.
Adopt device as shown in Figure 3, the identification information of associated video corresponding with this application with application associated video sharing platform side for the identification information of the application of application download platform side is integrated in an information aggregate corresponding to application; And determine the correlation between the set that each application is corresponding.
Like this, in application download platform side, when the user behavior that user exists for target application being detected, can determine to have with the information aggregate corresponding to target application correlation at least one apply corresponding to information aggregate, and then determine the video that has in the information aggregate of correlation, recommend the determined video relevant to target application application download platform side direction user.
Corresponding to method as shown in Figure 2, the embodiment of the present invention additionally provides a kind of application recommendation apparatus, as shown in Figure 4, can comprise:
Second user behavior detection module 201, for detecting the user behavior of user in application associated video sharing platform side for the associated video corresponding to target application;
Second information aggregate determination module 202, for user behavior that user exists for associated video corresponding to target application being detected at the second user behavior detection module 201, determine to have with the information aggregate corresponding to target application correlation at least one apply corresponding to information aggregate, the information aggregate corresponding to an application comprises the identification information of the identification information of this application of application download platform side and the application associated video sharing platform side associated video corresponding with this application;
Second application determination module 203, for the identification information of this application in the information aggregate corresponding to determined, at least one application, determines to apply the application relevant to the associated video corresponding to target application of download platform side;
Second application recommending module 204, for recommending the determined application relevant to the associated video corresponding to target application application associated video sharing platform side direction user;
Wherein, the second information aggregate determination module 202 can comprise:
Second multi-feature vector determination submodule, for determining the size of the multi-feature vector of target application and each self-corresponding information aggregate of other application, wherein, multi-feature vector of each application comprise that M presets with this application characteristic of correspondence element, N number of default associated video characteristic of correspondence element corresponding with this application, M >=1, N >=1;
Wherein, comprise with application characteristic of correspondence element: the characteristic element determined according to the user behavior applying download platform side, and determine its size according to user behavior record; The associated video characteristic of correspondence element corresponding with application comprises: the characteristic element determined according to the user behavior applying associated video sharing platform side, and determines its size according to user behavior record;
Second similarity calculating sub module, for according to the vector similarity computational methods preset, determines that the multi-feature vector of the information aggregate that target application is corresponding and other apply the similarity between the multi-feature vector of corresponding information aggregate;
Second correlation determination submodule, if be greater than predetermined threshold value for the similarity of the multi-feature vector of the multi-feature vector of information aggregate corresponding to the arbitrary application information aggregate corresponding with target application, then determine, between the information aggregate that the information aggregate of this application correspondence is corresponding with target application, there is correlation.
In some embodiments of this device, describedly also to comprise with application characteristic of correspondence element: the characteristic element determined according to the relevant information applied, and preset its size.
In other embodiments of this device, device can also comprise: the second video determination module and the second video recommendations module; Described second video determination module be used for the second information aggregate determination module 202 determines to have with the information aggregate corresponding to target application correlation at least one apply corresponding to information aggregate after, the identification information of video in information aggregate corresponding to determined, at least one application, determines the video that associated video sharing platform side is relevant to the associated video corresponding to target application.
Described second video recommendations module, for recommending the determined video relevant to the associated video corresponding to target application associated video sharing platform side direction user.
Adopt device as shown in Figure 4, the identification information of associated video corresponding with this application with application associated video sharing platform side for the identification information of the application of application download platform side is integrated in an information aggregate corresponding to application; And determine the correlation between the set that each application is corresponding.
In application associated video sharing platform side, when the user behavior that user exists for associated video corresponding to target application being detected, can determine that the information aggregate corresponding with target application has the application in the information aggregate of correlation, and recommend the determined application relevant to the associated video corresponding to target application application associated video sharing platform side direction user.
It should be noted that, each embodiment corresponding to above-mentioned video recommendations device, can implement separately also partly or entirely can combine enforcement, concrete execution mode is determined by those skilled in the art, and the present invention is in this no limit.Same, each embodiment corresponding to above-mentioned application recommendation apparatus, can implement separately also partly or entirely can combine enforcement, concrete execution mode is determined by those skilled in the art, and the present invention is in this no limit.
It should be noted that, in this article, the such as relational terms of first and second grades and so on is only used for an entity or operation to separate with another entity or operating space, and not necessarily requires or imply the relation that there is any this reality between these entities or operation or sequentially.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, article or equipment and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, article or equipment.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment comprising described key element and also there is other identical element.
Each embodiment in this specification all adopts relevant mode to describe, between each embodiment identical similar part mutually see, what each embodiment stressed is the difference with other embodiments.Especially, for device embodiment, because it is substantially similar to embodiment of the method, so description is fairly simple, relevant part illustrates see the part of embodiment of the method.
One of ordinary skill in the art will appreciate that all or part of step realized in said method execution mode is that the hardware that can carry out instruction relevant by program has come, described program can be stored in computer read/write memory medium, here the alleged storage medium obtained, as: ROM/RAM, magnetic disc, CD etc.
The foregoing is only preferred embodiment of the present invention, be not intended to limit protection scope of the present invention.All any amendments done within the spirit and principles in the present invention, equivalent replacement, improvement etc., be all included in protection scope of the present invention.

Claims (18)

1. a video recommendation method, is characterized in that, comprising:
Detect the user behavior of user in application download platform side for target application;
When the user behavior that user exists for target application being detected,
Determine to have with the information aggregate corresponding to target application correlation at least one apply corresponding to information aggregate, the information aggregate corresponding to an application comprises the identification information of the identification information of this application of application download platform side and the application associated video sharing platform side associated video corresponding with this application;
The identification information of the associated video corresponding with this application in information aggregate corresponding to determined, at least one application, determines the video that associated video sharing platform side is relevant to target application;
The determined video relevant to target application is recommended application download platform side direction user.
2. the method for claim 1, is characterized in that, at least one determining to have with the information aggregate corresponding to target application correlation described apply corresponding to the method for information aggregate comprise:
Determine the size of the multi-feature vector of target application and each self-corresponding information aggregate of other application, wherein, multi-feature vector of each application comprise that M presets with this application characteristic of correspondence element, N number of default associated video characteristic of correspondence element corresponding with this application, M >=1, N >=1;
Wherein, comprise with application characteristic of correspondence element: the characteristic element determined according to the user behavior applying download platform side, and determine its size according to user behavior record; The associated video characteristic of correspondence element corresponding with application comprises: the characteristic element determined according to the user behavior applying associated video sharing platform side, and determines its size according to user behavior record;
According to the vector similarity computational methods preset, determine that the multi-feature vector of the information aggregate that target application is corresponding and other apply the similarity between the multi-feature vector of corresponding information aggregate;
If the similarity of the multi-feature vector of the information aggregate that the multi-feature vector of the information aggregate that arbitrary application is corresponding is corresponding with target application is greater than predetermined threshold value, then determine, between the information aggregate that the information aggregate of this application correspondence is corresponding with target application, there is correlation.
3. method as claimed in claim 2, is characterized in that, describedly also comprises with application characteristic of correspondence element: the characteristic element determined according to the relevant information applied, and presets its size.
4. the method as described in claim arbitrary in claim 1-3, is characterized in that, after the information aggregate corresponding to applying, also comprises at least one determining to have with the information aggregate corresponding to target application correlation:
The identification information of application in information aggregate corresponding to determined, at least one application, determines to apply the application relevant to target application of download platform side;
The determined application relevant to target application is recommended application download platform side direction user.
5. method as claimed in claim 1, it is characterized in that, vector similarity computational methods are selected from:
One in cosine similarity computational methods, Euclidean distance computational methods and Jie Kade distance calculating method.
6. apply a recommend method, it is characterized in that, comprising:
Detect the user behavior of user in application associated video sharing platform side for the associated video corresponding to target application;
When the user behavior that user exists for associated video corresponding to target application being detected,
Determine to have with the information aggregate corresponding to target application correlation at least one apply corresponding to information aggregate, the information aggregate corresponding to an application comprises the identification information of the identification information of this application of application download platform side and the application associated video sharing platform side associated video corresponding with this application;
The identification information of this application in information aggregate corresponding to determined, at least one application, determines to apply the application relevant to the associated video corresponding to target application of download platform side;
The determined application relevant to the associated video corresponding to target application is recommended application associated video sharing platform side direction user.
7. method as claimed in claim 6, is characterized in that, at least one determining to have with the information aggregate corresponding to target application correlation described apply corresponding to the method for information aggregate comprise:
Determine the size of the multi-feature vector of target application and each self-corresponding information aggregate of other application, wherein, multi-feature vector of each application comprise that M presets with this application characteristic of correspondence element, N number of default associated video characteristic of correspondence element corresponding with this application, M >=1, N >=1;
Wherein, comprise with application characteristic of correspondence element: the characteristic element determined according to the user behavior applying download platform side, and determine its size according to user behavior record; The associated video characteristic of correspondence element corresponding with application comprises: the characteristic element determined according to the user behavior applying associated video sharing platform side, and determines its size according to user behavior record;
According to the vector similarity computational methods preset, determine that the multi-feature vector of the information aggregate that target application is corresponding and other apply the similarity between the multi-feature vector of corresponding information aggregate;
If the similarity of the multi-feature vector of the information aggregate that the multi-feature vector of the information aggregate that arbitrary application is corresponding is corresponding with target application is greater than predetermined threshold value, then determine, between the information aggregate that the information aggregate of this application correspondence is corresponding with target application, there is correlation.
8. method as claimed in claim 7, is characterized in that, describedly also comprises with application characteristic of correspondence element: the characteristic element determined according to the relevant information applied, and presets its size.
9. the method as described in claim arbitrary in claim 6-8, is characterized in that, after the information aggregate corresponding to applying, also comprises at least one determining to have with the information aggregate corresponding to target application correlation:
The identification information of video in information aggregate corresponding to determined, at least one application, determine associated video sharing platform side relevant to the associated video corresponding to target application video;
The determined video relevant to the associated video corresponding to target application is recommended associated video sharing platform side direction user.
10. a video recommendations device, is characterized in that, comprising:
First user behavioral value module, for detecting the user behavior of user in application download platform side for target application;
First information set determination module, for user behavior that user exists for target application being detected in described first user behavioral value module, determine to have with the information aggregate corresponding to target application correlation at least one apply corresponding to information aggregate, the information aggregate corresponding to an application comprises the identification information of the identification information of this application of application download platform side and the application associated video sharing platform side associated video corresponding with this application;
First video determination module, for the identification information of the associated video corresponding with this application in the information aggregate corresponding to determined, at least one application, determines the video that associated video sharing platform side is relevant to target application;
First video recommendations module, for recommending the determined video relevant to target application application download platform side direction user.
11. devices as claimed in claim 10, is characterized in that, described first information set determination module comprises:
First multi-feature vector determination submodule, for determining the size of the multi-feature vector of target application and each self-corresponding information aggregate of other application, wherein, multi-feature vector of each application comprise that M presets with this application characteristic of correspondence element, N number of default associated video characteristic of correspondence element corresponding with this application, M >=1, N >=1;
Wherein, comprise with application characteristic of correspondence element: the characteristic element determined according to the user behavior applying download platform side, and determine its size according to user behavior record; The associated video characteristic of correspondence element corresponding with application comprises: the characteristic element determined according to the user behavior applying associated video sharing platform side, and determines its size according to user behavior record;
First similarity calculating sub module, for according to the vector similarity computational methods preset, determines that the multi-feature vector of the information aggregate that target application is corresponding and other apply the similarity between the multi-feature vector of corresponding information aggregate;
First correlation determination submodule, if be greater than predetermined threshold value for the similarity of the multi-feature vector of the multi-feature vector of information aggregate corresponding to the arbitrary application information aggregate corresponding with target application, then determine, between the information aggregate that the information aggregate of this application correspondence is corresponding with target application, there is correlation.
12. devices as claimed in claim 11, is characterized in that, describedly also comprise with application characteristic of correspondence element: the characteristic element determined according to the relevant information applied, and preset its size.
13. devices as described in claim arbitrary in claim 10-12, is characterized in that, also comprise: the first application determination module and the first application recommending module; Described first application determination module be used for described first information set determination module determines to have with the information aggregate corresponding to target application correlation at least one apply corresponding to information aggregate after,
The identification information of application in information aggregate corresponding to determined, at least one application, determines to apply the application relevant to target application of download platform side;
Described first application recommending module, for recommending the determined application relevant to target application application download platform side direction user.
14. devices as claimed in claim 10, it is characterized in that, vector similarity computational methods are selected from:
One in cosine similarity computational methods, Euclidean distance computational methods and Jie Kade distance calculating method.
15. 1 kinds of application recommendation apparatus, is characterized in that, comprising:
Second user behavior detection module, for detecting the user behavior of user in application associated video sharing platform side for the associated video corresponding to target application;
Second information aggregate determination module, for user behavior that user exists for associated video corresponding to target application being detected at described second user behavior detection module, determine to have with the information aggregate corresponding to target application correlation at least one apply corresponding to information aggregate, the information aggregate corresponding to an application comprises the identification information of the identification information of this application of application download platform side and the application associated video sharing platform side associated video corresponding with this application;
Second application determination module, for the identification information of this application in the information aggregate corresponding to determined, at least one application, determines to apply the application relevant to the associated video corresponding to target application of download platform side;
Second application recommending module, for recommending the determined application relevant to the associated video corresponding to target application application associated video sharing platform side direction user.
16. devices as claimed in claim 15, is characterized in that, described second information aggregate determination module comprises:
Second multi-feature vector determination submodule, for determining the size of the multi-feature vector of target application and each self-corresponding information aggregate of other application, wherein, multi-feature vector of each application comprise that M presets with this application characteristic of correspondence element, N number of default associated video characteristic of correspondence element corresponding with this application, M >=1, N >=1;
Wherein, comprise with application characteristic of correspondence element: the characteristic element determined according to the user behavior applying download platform side, and determine its size according to user behavior record; The associated video characteristic of correspondence element corresponding with application comprises: the characteristic element determined according to the user behavior applying associated video sharing platform side, and determines its size according to user behavior record;
Second similarity calculating sub module, for according to the vector similarity computational methods preset, determines that the multi-feature vector of the information aggregate that target application is corresponding and other apply the similarity between the multi-feature vector of corresponding information aggregate;
Second correlation determination submodule, if be greater than predetermined threshold value for the similarity of the multi-feature vector of the multi-feature vector of information aggregate corresponding to the arbitrary application information aggregate corresponding with target application, then determine, between the information aggregate that the information aggregate of this application correspondence is corresponding with target application, there is correlation.
17. devices as claimed in claim 16, is characterized in that, describedly also comprise with application characteristic of correspondence element: the characteristic element determined according to the relevant information applied, and preset its size.
18. devices as described in claim arbitrary in claim 15-17, is characterized in that, also comprise: the second video determination module and the second video recommendations module; Described second video determination module be used for described second information aggregate determination module determines to have with the information aggregate corresponding to target application correlation at least one apply corresponding to information aggregate after, the identification information of video in information aggregate corresponding to determined, at least one application, determines the video that associated video sharing platform side is relevant to the associated video corresponding to target application;
Described second video recommendations module, for recommending the determined video relevant to the associated video corresponding to target application associated video sharing platform side direction user.
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