CN107888982A - Video information recommends method and device - Google Patents
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- CN107888982A CN107888982A CN201711148677.XA CN201711148677A CN107888982A CN 107888982 A CN107888982 A CN 107888982A CN 201711148677 A CN201711148677 A CN 201711148677A CN 107888982 A CN107888982 A CN 107888982A
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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
- H04N21/4508—Management of client data or end-user data
- H04N21/4532—Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, preferences
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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
- H04N21/458—Scheduling content for creating a personalised stream, e.g. by combining a locally stored advertisement with an incoming stream; Updating operations, e.g. for OS modules ; time-related management operations
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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]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/482—End-user interface for program selection
- H04N21/4826—End-user interface for program selection using recommendation lists, e.g. of programs or channels sorted out according to their score
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- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Software Systems (AREA)
- Human Computer Interaction (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The disclosure is directed to a kind of video information to recommend method and device.This method includes：When target video carries out inline broadcasting in list of videos, one or more recommendation videos are obtained according to multiple video features of the target video；The predeterminated position of the list of videos is inserted using one or more of recommendation videos as the playitem of the list of videos.In the technical scheme, the video APP of terminal is installed on when target video carries out inline broadcasting, by the predeterminated position insertion in list of videos playitem corresponding to video can be recommended to recommend video interested for user, add the use of user video APP duration, clicking rate of the user on video APP is increased, and then adds video APP user's viscosity.
Description
Technical field
This disclosure relates to technical field of information processing, more particularly to a kind of video information recommend method and device.
Background technology
With the development of intelligent terminal, people can utilize all kinds of APP installed on intelligent terminal (Application, to answer
With program) realize life in various demands.For example, when user needs to watch video, video APP, Ran Hou can be opened
In video APP search column, the keyword of video interested is inputted.Video APP can show video row according to the keyword
Table, multiple videos are shown in the list of videos, and the title of each video or brief introduction, user can click on as needed
Video is watched.
In correlation technique, inline (inline) that video APP can be provided in list of videos is played, i.e., is regarded when user clicks on
During any video in frequency list, the video can commence play out in current page, saved user and watched before video
Stand-by period.
The content of the invention
To overcome problem present in correlation technique, the embodiment of the present disclosure provides a kind of video information and recommends method and dress
Put.The technical scheme is as follows：
According to the first aspect of the embodiment of the present disclosure, there is provided a kind of video information recommends method, including：
When target video carries out inline broadcasting in list of videos, obtained according to multiple video features of the target video
Take one or more recommendation videos；
The list of videos is inserted using one or more of recommendation videos as the playitem of the list of videos
Predeterminated position.
The technical scheme provided by this disclosed embodiment can include the following benefits：It is installed on the video APP of terminal
, can be by recommending to play bar corresponding to video in the predeterminated position insertion of list of videos when target video carries out inline broadcasting
Mesh recommends video interested for user, adds the use of user video APP duration, increases user in the video
Clicking rate on APP, and then add video APP user's viscosity.
In one embodiment, it is described when target video carries out inline broadcasting in list of videos, according to the target
Multiple video features of video, which obtain one or more recommendation videos, to be included：
When the target video carries out inline broadcasting in list of videos, the current use for watching the target video is obtained
Multiple user characteristicses at family；
According to the multiple user characteristics and the multiple video features, one or more of recommendation videos are obtained.
In one embodiment, the playitem using one or more of recommendation videos as the list of videos
Inserting the predeterminated position of the list of videos includes：
Inserted one or more of recommendation videos as the playitem of the list of videos in the list of videos
The position adjacent with the target video so that at least one next broadcasting bar for recommending video as the list of videos
Mesh.
In one embodiment, the playitem using one or more of recommendation videos as the list of videos
Inserting the predeterminated position of the list of videos includes：
Obtain the total duration of the target video；
In the total duration, inserted one or more of recommendation videos as the playitem of the list of videos
The predeterminated position of the list of videos.
In one embodiment, the playitem using one or more of recommendation videos as the list of videos
Inserting the predeterminated position of the list of videos includes：
According to the multiple video features, prediction active user watches the viewing duration of the target video；
In the viewing duration, one or more of recommendation videos are inserted as the playitem of the list of videos
Enter the predeterminated position of the list of videos.
In one embodiment, the playitem using one or more of recommendation videos as the list of videos
Inserting the predeterminated position of the list of videos includes：
Playitem corresponding to the one or more of recommendation videos of predeterminated position scrolling display in the list of videos.
According to the second aspect of the embodiment of the present disclosure, there is provided a kind of video information recommendation apparatus, including：
Acquisition module, for when target video carries out inline broadcasting in list of videos, according to the target video
Multiple video features obtain one or more recommendation videos；
Module is inserted, for inserting institute using one or more of recommendation videos as the playitem of the list of videos
State the predeterminated position of list of videos.
In one embodiment, the acquisition module includes：
First acquisition submodule, for when the target video carries out inline broadcasting in list of videos, obtaining viewing
Multiple user characteristicses of the active user of the target video；
Second acquisition submodule, for according to the multiple user characteristics and the multiple video features, obtaining described one
Individual or multiple recommendation videos.
In one embodiment, the insertion module includes：
First insertion submodule, for the playitem using one or more of recommendation videos as the list of videos
Insert position adjacent with the target video in the list of videos so that at least one recommendation video is the video
Next playitem of list.
In one embodiment, the insertion module includes：
3rd acquisition submodule, for obtaining the total duration of the target video；
Second insertion submodule, in the total duration, one or more of recommendation videos to be regarded as described in
The playitem of frequency list inserts the predeterminated position of the list of videos.
In one embodiment, the insertion module includes：
Submodule is predicted, for watching the sight of the target video according to the multiple video features, prediction active user
See duration；
3rd insertion submodule, in the viewing duration, recommending videos as described in using one or more of
The playitem of list of videos inserts the predeterminated position of the list of videos.
In one embodiment, the insertion module includes：
Submodule is rolled, one or more of recommendation videos are scrolled for the predeterminated position in the list of videos
Corresponding playitem.
According to the third aspect of the embodiment of the present disclosure, there is provided a kind of video information recommendation apparatus, including：
Processor；
For storing the memory of processor-executable instruction；
Wherein, the processor is configured as：
When target video carries out inline broadcasting in list of videos, obtained according to multiple video features of the target video
Take one or more recommendation videos；
The list of videos is inserted using one or more of recommendation videos as the playitem of the list of videos
Predeterminated position.
According to the fourth aspect of the embodiment of the present disclosure, there is provided a kind of computer-readable recording medium, be stored thereon with calculating
The step of machine instructs, and first aspect any embodiment methods described is realized in the instruction when being executed by processor.
It should be appreciated that the general description and following detailed description of the above are only exemplary and explanatory, not
The disclosure can be limited.
Brief description of the drawings
Accompanying drawing herein is merged in specification and forms the part of this specification, shows the implementation for meeting the disclosure
Example, and be used to together with specification to explain the principle of the disclosure.
Fig. 1 a are the flow charts of the video information recommendation method according to an exemplary embodiment.
Fig. 1 b are the display schematic diagrams of the list of videos according to an exemplary embodiment.
Fig. 1 c are the display schematic diagrams of the list of videos according to an exemplary embodiment.
Fig. 1 d are the flow charts of the video information recommendation method according to an exemplary embodiment.
Fig. 1 e are the flow charts of the video information recommendation method according to an exemplary embodiment.
Fig. 1 f are the flow charts of the video information recommendation method according to an exemplary embodiment.
Fig. 1 g are the flow charts of the video information recommendation method according to an exemplary embodiment.
Fig. 2 is the flow chart of the video information recommendation method according to an exemplary embodiment.
Fig. 3 is the flow chart of the video information recommendation method according to an exemplary embodiment.
Fig. 4 a are the structural representations of the video information recommendation apparatus according to an exemplary embodiment.
Fig. 4 b are the structural representations of the video information recommendation apparatus according to an exemplary embodiment.
Fig. 4 c are the structural representations of the video information recommendation apparatus according to an exemplary embodiment.
Fig. 4 d are the structural representations of the video information recommendation apparatus according to an exemplary embodiment.
Fig. 4 e are the structural representations of the video information recommendation apparatus according to an exemplary embodiment.
Fig. 4 f are the structural representations of the video information recommendation apparatus according to an exemplary embodiment.
Fig. 5 is the structured flowchart of the video information recommendation apparatus according to an exemplary embodiment.
Embodiment
Here exemplary embodiment will be illustrated in detail, its example is illustrated in the accompanying drawings.Following description is related to
During accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represent same or analogous key element.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistent with the disclosure.On the contrary, they be only with it is such as appended
The example of the consistent apparatus and method of some aspects be described in detail in claims, the disclosure.
The embodiment of the present disclosure provide technical scheme be related to terminal, the terminal can be mobile phone, tablet personal computer and other
The equipment that the inline broadcasting of video can be realized, the embodiment of the present disclosure are not limited this.In correlation technique, terminal is installed on
Video APP can realize the inline broadcasting of video, and inline play can be and the plurality of by multiple videos for video APP
The word-information display such as the title of each video or brief introduction is at same interface in video, and according to the instruction of user in the interface
Play user's video interested, be easy to user watch in the interface video and access corresponding to text information, avoid video
Pressure full screen display, it also avoid user needs to jump to the details page of the video first when watching video interested
Situation about can just play out, the stand-by period that user is watched before video is saved.But inline broadcasting may cause video
APP can not be user's recommendation other videos related to current video when user watches current video, and Consumer's Experience is bad.
In the technical scheme provided by this disclosed embodiment, the video APP of terminal is installed on when target video carries out inline broadcasting, can
To recommend playitem corresponding to video to recommend video interested for user by the predeterminated position insertion in list of videos,
The use of user video APP duration is added, increases clicking rate of the user on video APP, and then add this
Video APP user's viscosity.
Fig. 1 a are a kind of flow charts of video information recommendation method according to an exemplary embodiment, and this method is used for
Terminal, the terminal are provided with video APP, video APP can be it is any offer the inline playing function of video APP, the disclosure
Embodiment is not limited this.As shown in Figure 1a, the video information recommends method to comprise the following steps 101 to step 102：
In a step 101, when target video carries out inline broadcasting in list of videos, multiple according to target video regard
Frequency feature obtains one or more recommendation videos.
Example, video APP can show list of videos according to the search of user, and the list of videos includes multiple broadcasting bars
Mesh, each playitem can include the video interception and title of corresponding video, or the video interception including corresponding video and
Brief introduction, the playitem that user can be consulted in the list of videos choose whether to watch video.If detecting, user clicks on video
Target playitem in list, then video APP can play target video corresponding to the target playitem in current interface,
The target video is played in the form of inline broadcasting i.e. in list of videos, now video APP can obtain the target video
Multiple video features, then obtained according to the plurality of video features and one or more recommend videos.The plurality of video features can
With multiple content characteristics including target video, for example, entertain, make laughs, be military, society, animation or variety；Multiple resolution ratio are special
Sign, such as former disk, SD, high definition, super clear or blue light etc.；Or multiple format characters, such as AVI (Audio Video
Interleaved, Audio Video Interleaved), ASF (Advanced Streaming format, advanced streaming format), MKV
(Matroska, multimedia container), FLV (FLASH VIDEO, flash memory video) or RMVB (RealMedia Variable
Bitrate, network flow-medium variable bit rate) etc..
Video APP includes multiple video ponds, multiple videos, feature corresponding to different video pond being stored with each video pond
Difference, multiple videos in same video pond have at least one identical video features, such as stored in funny video pond
Multiple videos include this content characteristic of making laughs, and the multiple videos stored in entertainment video pond are entertained in this including Eight Diagrams
Hold feature, the multiple videos stored in military video pond include this military content characteristic, stored in HD video pond more
Individual video includes high definition this resolution characteristics, and the multiple videos stored in Blu-ray video pond include blue light this resolution ratio
Feature, the multiple videos stored in MOV videos pond are the video of MOV forms, and the multiple videos stored in MKV videos pond are
The video of MKV forms.
, can be more according to this after video APP gets multiple video features of the currently viewing target video of user
Individual video features filter out the multiple videos conduct interested of active user's possibility from multiple video ponds that video APP includes and pushed away
Recommend video.Example, it is assumed that multiple video features of target video are including entertaining, making laughs, high definition and MKV, video APP are obtaining
To after the plurality of video features, entertainment video pond, funny video pond, HD video pond are got from multiple video ponds first
With MKV videos pond, then obtain respectively from the entertainment video pond with make laughs, M video of high definition or MKV features, from doing
Laugh at and N number of video with amusement, high definition or MKV features is obtained in video pond, obtain with amusement, make laughs from HD video pond
Or P video of MKV features, obtain with amusement, make laughs or Q video of high definition feature from MKV videos pond, then should
M+N+P+Q video is as multiple recommendation videos corresponding with the target video.
Or video APP can also pre-establish recommended models, the recommended models can calculate the recommendation system of each video
Number.After video APP gets M+N+P+Q video, it can be calculated by the recommended models each in M+N+P+Q video
The recommendation coefficient of video, then according to recommend the descending of coefficient be ranked up, and choose before predetermined number video conduct
Multiple recommendation videos；Or selection recommends coefficient to be more than or equal to the video of predetermined threshold value as recommendation video.
Optionally, video APP can obtain W video features of the various videos that can be played, then by the W video
Feature is matched two-by-two, is obtainedIndividual feature pair, and be each feature to being numbered, for example, X1, X2, X3 ... Xr ...,
Then each feature is set to corresponding weight, for example, X1 weight is A1, X2 weight is A2, and X3 weight is A3 ...
Xr weight is Ar ....When establishing the recommended models on active user, the survey of the first predetermined number can be obtained at random
Video is tried, and model formation (1) is set, the model formation (1) is：
Y=A1*X1+A2*X2+A3*X3+ ...+Ar*Xr+ ...
Wherein, the first predetermined number can be characterized to number, Y represent test video whether watched, if user is
Test video is watched, then Y is 1；If user does not watch test video, Y 0.It can thus be appreciated that each test video is corresponding one
Formula, you can to get the first predetermined number formula.Video APP using the weight of each feature pair as unknown number by this first
Predetermined number formula forms multi head linear equation group, you can calculates the weighted value of the weight of each feature pair, A1=B1, A2
=B2, A3=B3 ... Ar=Br ....Bring the weighted value into model formation (1), you can get corresponding to active user
Recommended models Y=B1*X1+B2*X2+B3*X3+ ...+Br*Xr+ ....
After video APP gets M+N+P+Q video, each video in the M+N+P+Q video can be obtained
Video features simultaneously match two-by-two, you can get the feature pair of each video, then obtained according to coding rule before each
The numbering of feature pair, and the numbering is brought into recommended models Y=B1*X1+B2*X2+B3*X3+ ...+Br*Xr+ ..., you can meter
Calculate and recommend coefficient Y corresponding to each video, and then multiple recommendation videos can be obtained according to the recommendation coefficient Y of each video.
Can be with it should be noted that the modeling method of embodiment of the present disclosure introduction is universal modeling method, in practical application
Modification, such as the process that addition is screened using other features in the modeling method are carried out to the modeling method, or it is right
The modeling method carries out adaptive change, and the embodiment of the present disclosure is not construed as limiting to this.
Or video APP can also calculate each video of each video pond storage in all video ponds included successively
Recommendation coefficient, then obtain recommend coefficient be more than or equal to predetermined threshold value G video, then obtained in the G video
Higher video is as recommendation video with the video features registration of target video.For example, video APP can be from the G video
Middle acquisition video features are including entertaining, making laughs, video is recommended in the video conduct of high definition and MKV, i.e., obtain and regard from the G video
The video that the video features of frequency feature and target video are completely superposed is as recommendation video；Or obtain and regard from the G video
Frequency feature is including making laughs, video is recommended in the video conduct of high definition and MKV, and video features bag can also be obtained from the G video
Include amusement, make laughs with MKV video as video is recommended, can be selected as the case may be in practical application, the disclosure
Embodiment is not construed as limiting to this.
In a step 102, video is recommended to insert list of videos as the playitem of list of videos using one or more
Predeterminated position.
Example, so that video APP gets multiple recommendation videos as an example, as shown in Figure 1 b, predeterminated position 10a can be set
Put in the left side of list, i.e., after video APP gets multiple recommendation videos, can be inserted in target video 10b left side
Playitem 10a1 corresponding to the plurality of recommendation video, video interception and title can be included by recommending the playitem of video, just
Choose whether to be watched in user.Likewise, predeterminated position 10a can also be arranged on the right side of list, the disclosure is implemented
Example is not construed as limiting to this.
Or video APP can also regard the multiple recommendation videos got as the playitem insertion of list of videos
The position adjacent with target video in frequency list so that at least one to recommend next playitem that video is list of videos.
For example, as illustrated in figure 1 c, video APP can be by under playitem 10a1 insertion target videos corresponding to multiple recommendation videos
Side, i.e. predeterminated position 10a can be located at target video 10b lower section, recommendation video now adjacent with target video 10b
Playitem is next playitem of list of videos.Likewise, predeterminated position 10a can also be arranged on the upper of list
Side, the embodiment of the present disclosure are not construed as limiting to this.
In the technical scheme provided by this disclosed embodiment, the video APP for being installed on terminal is inline in target video progress
, can be by recommending playitem corresponding to video in the predeterminated position insertion of list of videos to recommend sense emerging for user during broadcasting
The video of interest, adds the use of user video APP duration, increases clicking rate of the user on video APP, and then
Add video APP user's viscosity.
In one embodiment, as shown in Figure 1 d, in a step 101, when target video carried out in list of videos it is inline
During broadcasting, one or more recommendation videos are obtained according to multiple video features of target video, step 1011 and step can be passed through
Rapid 1012 realize：
In step 1011, when target video carries out inline broadcasting in list of videos, viewing target video is obtained
Multiple user characteristicses of active user.
Example, when video APP indicates that target is played in the form of inline broadcasting in list of videos is regarded according to user
During frequency, multiple user characteristicses of active user can be obtained, the user characteristics can include the age characteristics of active user, such as
Age bracket is 30~35；Academic feature, for example, highest educational background is undergraduate course；Operating characteristic, such as lawyer；Watch the long-term of video
Preference, for example, electrical type video, amusement class video or social class video etc.；Watch the short-term preference of video, such as animation class
Video or emotion class video etc..Optionally, when video APP is indicated in list of videos using the form of inline broadcasting according to user
When playing target video, the login ID (identity, identity) of active user can be obtained, and generate according to the login ID
Solicited message, the solicited message is then sent to server.Server can generate feedback information according to the solicited message, and
The feedback information is pushed to video APP, the feedback information includes multiple user characteristicses of active user.Or video APP
Can also display record interface, show the input frame of multiple user characteristicses on the interface, and prompt user to be inputted.User
Corresponding information can be inserted in input frame according to actual conditions, the information that video APP can input user is as user
Feature.
In step 1012, according to multiple user characteristicses and multiple video features, one or more recommendation videos are obtained.
Example, video APP can also include video pond corresponding with different user feature, such as 30~35 video ponds,
The multiple videos stored in the video pond are the video that the user that age bracket is 30~35 more often watches；Undergraduate course video pond, should
The multiple videos stored in video pond are the video that highest educational background is more often watched for the user of undergraduate course；Lawyer's video pond, this is regarded
The multiple videos stored in frequency pond are the video that lawyer more often watches.
Multiple video features of the currently viewing target video of user and multiple use of active user are got as video APP
After the feature of family, it can be sieved according to the plurality of video features and multiple user characteristicses from multiple video ponds that video APP includes
The possible multiple videos interested of active user are selected as recommendation video.Example, it is assumed that multiple videos of target video are special
Sign includes amusement, high definition and MKV, the user characteristics of active user include 30~35 age brackets, undergraduate course, lawyer, entertain class video,
Animation class video etc..Video APP can get entertainment video pond, HD video pond, MKV videos from multiple video ponds first
Pond, 30~35 video ponds, undergraduate course video pond, lawyer's video pond and animation video pond.Then obtained respectively from the entertainment video pond
Take with make laughs, high definition, MKV, 30~35 age brackets, undergraduate course, lawyer or animation feature M video, from HD video pond
The P video with amusement, MKV, 30~35 age brackets, undergraduate course, lawyer or animation feature is obtained, is obtained from MKV videos pond
The Q video with amusement, high definition, 30~35 age brackets, undergraduate course, lawyer or animation feature, obtained from 30~35 video ponds
Amusement, high definition, MKV, undergraduate course, H video of lawyer or animation feature, obtain amusement, high definition, MKV, 30 from undergraduate course video pond
J video of~35 age brackets, lawyer or animation feature, amusement, high definition, MKV, 30~35 ages are obtained from lawyer's video pond
K video of section, undergraduate course or animation feature, amusement, high definition, MKV, 30~35 age brackets, undergraduate course are obtained from animation video pond
Or the L video of lawyer, then regarded the M+P+Q+H+J+K+L video as multiple recommendations corresponding with the target video
Frequently.
Or established with using multiple video features as recommended models, video APP can also use multiple video features
Establish recommended models with multiple user characteristicses, the recommended models can calculate the recommendation coefficient of each video, its modeling process with
It is above-mentioned recommended models are established using multiple video features process it is similar, the embodiment of the present disclosure will not be described here.In video APP
After getting M+P+Q+H+J+K+L video, it can be calculated by the recommended models each in M+P+Q+H+J+K+L video
The recommendation coefficient of video, then according to recommend the descending of coefficient be ranked up, and choose before predetermined number video conduct
Multiple recommendation videos；Or selection recommends coefficient to be more than or equal to the video of predetermined threshold value as recommendation video.
Or video APP can also calculate each video of each video pond storage in all video ponds included successively
Recommendation coefficient, then obtain recommend coefficient be more than or equal to predetermined threshold value G video, then obtained in the G video
Higher video is as recommendation video with the video features registration of target video.For example, video APP can be from the G video
Middle video of the video features including amusement, high definition, MKV, 30~35 age brackets, undergraduate course, lawyer and animation that obtain regards as recommendation
Frequently, i.e., the video that the video features of acquisition video features and target video are completely superposed from the G video is as recommendation video；
Or obtain video features from the G video and regarded including high definition, 30~35 age brackets, undergraduate course and the video of lawyer as recommendation
Frequently, video of the video features including amusement, MKV, undergraduate course and animation can also be obtained from the G video and is used as and recommends video,
It can be selected as the case may be in practical application, the embodiment of the present disclosure is not construed as limiting to this.
In the technical scheme provided by this disclosed embodiment, be installed on terminal video APP can according to user characteristics and
Video features, which obtain, recommends video, improves the clicking rate for recommending video, and then adds video APP user's viscosity.
In one embodiment, as shown in fig. le, in a step 102, video is recommended to be arranged as video one or more
The predeterminated position of the playitem insertion list of videos of table, can be realized by step 1021 and step 1022：
In step 1021, the total duration of target video is obtained.
In step 1022, in total duration, video is recommended to be inserted as the playitem of list of videos one or more
Enter the predeterminated position of list of videos.
Example, the total duration of target video is the video duration of the target video.If for example, the target video is 2
The animation fragment of points 36 seconds, then the total duration of the target video be 2 points 36 seconds.Video APP in the total duration of target video,
The predeterminated position of list of videos is inserted using multiple recommendation videos as the playitem of list of videos so that user is watching mesh
Other videos interested can be got in time and continue to watch after mark video, improve the click for recommending video
Rate, and then add video APP user's viscosity.
In one embodiment, as shown in Figure 1 f, in a step 102, video is recommended to be arranged as video one or more
The predeterminated position of the playitem insertion list of videos of table, can be realized by step 1023 and step 1024：
In step 1023, according to multiple video features, prediction active user watches the viewing duration of target video.
In step 1024, in viewing duration, using one or more playitems for recommending video as list of videos
Insert the predeterminated position of list of videos.
Example, video APP can pre-establish duration modeling, when the duration modeling can predict the viewing of each video
It is long.After video APP gets multiple video features of target video, the plurality of video features can be inputted duration mould
Type, prediction active user watches the viewing duration of target video, and then in the viewing duration of prediction, multiple recommendation videos are made
The predeterminated position of list of videos is inserted for the playitem of list of videos so that user can be timely after target video is watched
Get other videos interested and continue to watch, improve the clicking rate for recommending video, and then add the video
APP user's viscosity.
Optionally, video APP can obtain W video features of the various videos that can be played, then by the W video
It is numbered, for example, V1, V2, V3 ... Vw, and weight corresponding to setting, for example, V1 weight is C1, V2 weight is C2,
The weight that V3 weight is C3 ... Vw is Cw., can be from active user's when establishing the duration modeling on active user
The conception of history takes a fancy to the second predetermined number test video of random acquisition, and sets duration formula (2), and the duration formula (2) is：
Z=C1*V1+C2*V2+C3*V3+ ...+Cw*Vw
Wherein, Z is the viewing duration of video, and V1 to Vw is the numbering of W video features, and C1 to Cs is W video features
Weight.Video APP obtains multiple video features of each test video, and by multiple video features of each test video
Duration formula (2) is brought into viewing duration, you can is got formula corresponding to each test video, that is, is got the second present count
Amount formula.The second predetermined number formula is formed polynary first power by video APP by unknown number of the weight of each feature
Journey equation group, you can calculate the weighted value of the weight of each feature, C1=D1, C2=D2, C3=D3 ... Cw=Dw, by this
Weighted value brings duration formula (2) into, you can gets duration modeling corresponding to active user
Z=D1*V1+D2*V2+D3*V3+ ...+Dw*Vw.
After video APP gets the target video that active user is watching, the more of the target video can be obtained
Individual video features, then bring the plurality of video features into duration modeling Z=D1*V1+D2*V2+D3*V3+ ...+Dw*Vw, calculate
It is to predict that active user watches the viewing duration of target video to draw Z.
Duration modeling can also be established according to multiple video features and multiple user characteristicses in practical application, then by target
Multiple video features of video and multiple user characteristicses of active user bring duration modeling into, calculate prediction active user and watch mesh
The viewing duration of video is marked, the embodiment of the present disclosure is not repeated this.
In one embodiment, as shown in Figure 1 g, in a step 102, video is recommended to be arranged as video one or more
The predeterminated position of the playitem insertion list of videos of table, can be realized by step 1025：
In step 1025, broadcasting corresponding to the one or more recommendation videos of predeterminated position scrolling display in list of videos
Entry.
Example, in order that user more easily consults multiple recommendation videos, video APP is regarded getting multiple recommendations
After frequency, playitem corresponding to multiple recommendation videos can be scrolled in predeterminated position, it is each to recommend to broadcast corresponding to video
Put entry and show preset time period in predeterminated position, after with reference to recommending the playitem of video to show preset time period,
The playitem of another recommendation video can be shown in the predeterminated position, this is appointing in multiple recommendation videos with reference to video is recommended
One recommendation video of meaning.Optionally, video APP can be in the multiple recommendation videos pair of below or above scrolling display of target video
The playitem answered, or playitem corresponding to multiple recommendation videos is scrolled in the left side of target video or right side, this
Open embodiment is not construed as limiting to this.
In the technical scheme provided by this disclosed embodiment, broadcast corresponding to the multiple recommendation videos of predeterminated position scrolling display
Entry is put, multiple options has been provided the user, has improved Consumer's Experience.
It should be noted that W in the embodiment of the present disclosure, r, M, N, P, Q, G, H, J, K and L are whole more than or equal to 1
Number.
Implementation process is discussed in detail below by several embodiments.
Fig. 2 is a kind of flow chart of video information recommendation method according to an exemplary embodiment, and executive agent is
Terminal, video APP is installed in the terminal, as shown in Fig. 2 comprising the following steps 201 to step 205：
In step 201, when target video carries out inline broadcasting in list of videos, the multiple of the target video are obtained
Video features.
In step 202, the multiple user characteristicses for the active user for watching the target video are obtained.
In step 203, according to the plurality of user characteristics and multiple video features, multiple recommendation videos are obtained.
In step 204, the total duration of the target video is obtained.
In step 205, in the total duration, regarded the plurality of recommendation video as the playitem insertion of list of videos
The predeterminated position of frequency list so that at least one to recommend next playitem that video is list of videos.
Embodiment of the disclosure provides a kind of video information and recommends method, is installed on the video APP of terminal in target video
, can be by recommending playitem corresponding to video in the predeterminated position insertion of list of videos come for user when carrying out inline broadcasting
Recommend video interested, add the use of user video APP duration, increase point of the user on video APP
Rate is hit, and then adds video APP user's viscosity.
Fig. 3 is a kind of flow chart of video information recommendation method according to an exemplary embodiment, and executive agent is
Terminal, video APP is installed in the terminal, as shown in figure 3, comprising the following steps 301 to step 305：
In step 301, when target video carries out inline broadcasting in list of videos, the multiple of the target video are obtained
Video features.
In step 302, the multiple user characteristicses for the active user for watching the target video are obtained.
In step 303, according to the plurality of user characteristics and multiple video features, multiple recommendation videos are obtained.
In step 304, watch the target according to the plurality of video features and multiple user characteristicses, prediction active user and regard
The viewing duration of frequency.
In step 305, in the viewing duration, in the multiple recommendation videos pair of predeterminated position scrolling display of list of videos
The playitem answered.
Embodiment of the disclosure provides a kind of video information and recommends method, is installed on the video APP of terminal in target video
, can be by recommending playitem corresponding to video in the predeterminated position insertion of list of videos come for user when carrying out inline broadcasting
Recommend video interested, add the use of user video APP duration, increase point of the user on video APP
Rate is hit, and then adds video APP user's viscosity.
Following is embodiment of the present disclosure, can be used for performing embodiments of the present disclosure.
Fig. 4 a are a kind of structural representations of video information recommendation apparatus 40 according to an exemplary embodiment, the dress
Putting 40 can be implemented in combination with as some or all of of electronic equipment by software, hardware or both.As shown in fig. 4 a,
The video information recommendation apparatus 40 includes：
Acquisition module 401, for when target video carries out inline broadcasting in list of videos, according to the target video
Multiple video features obtain and one or more recommend videos.
Module 402 is inserted, for one or more of recommendation videos to be inserted as the playitem of the list of videos
Enter the predeterminated position of the list of videos.
In one embodiment, as shown in Figure 4 b, the acquisition module 401 includes the first acquisition submodule 4011 and second
Acquisition submodule 4012.
Wherein, the first acquisition submodule 4011, for when the target video carries out inline broadcasting in list of videos,
Obtain the multiple user characteristicses for the active user for watching the target video.
Second acquisition submodule 4012, for according to the multiple user characteristics and the multiple video features, obtaining institute
State one or more recommendation videos.
In one embodiment, as illustrated in fig. 4 c, the insertion module 402 includes the first insertion submodule 4021.It is described
First insertion submodule 4021, for being inserted one or more of recommendation videos as the playitem of the list of videos
The position adjacent with the target video in the list of videos so that at least one recommendation video is the list of videos
Next playitem.
In one embodiment, as shown in figure 4d, the insertion module 402 includes the 3rd acquisition submodule 4022 and second
Insert submodule 4023.
Wherein, the 3rd acquisition submodule 4022, for obtaining the total duration of the target video.
Second insertion submodule 4023, in the total duration, recommending videos as institute using one or more of
The playitem for stating list of videos inserts the predeterminated position of the list of videos.
In one embodiment, as shown in fig 4e, the insertion module 402 includes the prediction insertion of submodule 4024 and the 3rd
Submodule 4025.
Wherein, submodule 4024 is predicted, for watching the target according to the multiple video features, prediction active user
The viewing duration of video.
3rd insertion submodule 4025, for it is described viewing duration in, using it is one or more of recommendation videos as
The playitem of the list of videos inserts the predeterminated position of the list of videos.
In one embodiment, as shown in fig. 4f, the insertion module 402 includes rolling submodule 4026.The rolling
Submodule 4026, for being broadcast corresponding to the one or more of recommendation videos of predeterminated position scrolling display in the list of videos
Put entry.
Embodiment of the disclosure provides a kind of video information recommendation apparatus, and the device carries out inline broadcasting in target video
When, can be interested to recommend for user by recommending playitem corresponding to video in the predeterminated position insertion of list of videos
Video, the duration of the use of the user device is added, increase the clicking rate of user on the apparatus, and then add the dress
The user's viscosity put.
The embodiment of the present disclosure provides a kind of video information recommendation apparatus, and the video information recommendation apparatus includes：
Processor；
For storing the memory of processor-executable instruction；
Wherein, processor is configured as：
When target video carries out inline broadcasting in list of videos, obtained according to multiple video features of the target video
Take one or more recommendation videos；
The list of videos is inserted using one or more of recommendation videos as the playitem of the list of videos
Predeterminated position.
In one embodiment, above-mentioned processor is also configured to：When the target video is carried out in list of videos
During inline broadcasting, the multiple user characteristicses for the active user for watching the target video are obtained；According to the multiple user characteristics
With the multiple video features, one or more of recommendation videos are obtained.
In one embodiment, above-mentioned processor is also configured to：Using one or more of recommendation videos as institute
The playitem for stating list of videos inserts position adjacent with the target video in the list of videos so that at least one institute
State the next playitem for recommending video to be the list of videos.
In one embodiment, above-mentioned processor is also configured to：Obtain the total duration of the target video；Described
In total duration, the list of videos is inserted using one or more of recommendation videos as the playitem of the list of videos
Predeterminated position.
In one embodiment, above-mentioned processor is also configured to：According to the multiple video features, current use is predicted
The viewing duration of the target video is watched at family；In the viewing duration, using one or more of recommendation videos as institute
The playitem for stating list of videos inserts the predeterminated position of the list of videos.
In one embodiment, above-mentioned processor is also configured to：Rolled in the predeterminated position of the list of videos aobvious
Show playitem corresponding to one or more of recommendation videos.
Embodiment of the disclosure provides a kind of video information recommendation apparatus, and the device carries out inline broadcasting in target video
When, can be interested to recommend for user by recommending playitem corresponding to video in the predeterminated position insertion of list of videos
Video, the duration of the use of the user device is added, increase the clicking rate of user on the apparatus, and then add the dress
The user's viscosity put.
On the device in above-described embodiment, wherein modules perform the concrete mode of operation in relevant this method
Embodiment in be described in detail, explanation will be not set forth in detail herein.
Fig. 5 is a kind of structured flowchart for video information recommendation apparatus 50 according to an exemplary embodiment, should
Device 50 is applied to terminal device.For example, device 50 can be mobile phone, computer, digital broadcast terminal, information receiving and transmitting sets
It is standby, game console, tablet device, Medical Devices, body-building equipment, personal digital assistant etc..
Device 50 can include following one or more assemblies：Processing component 502, memory 504, power supply module 506 are more
Media component 508, audio-frequency assembly 510, the interface 512 of input/output (I/O), sensor cluster 514, and communication component
516。
The integrated operation of the usual control device 50 of processing component 502, such as communicated with display, call, data, camera
The operation that operation and record operation are associated.Processing component 502 can carry out execute instruction including one or more processors 520,
To complete all or part of step of above-mentioned method.In addition, processing component 502 can include one or more modules, it is easy to
Interaction between processing component 502 and other assemblies.For example, processing component 502 can include multi-media module, to facilitate more matchmakers
Interaction between body component 508 and processing component 502.
Memory 504 is configured as storing various types of data to support the operation in device 50.These data are shown
Example includes the instruction of any application program or method for operating on apparatus 50, contact data, telephone book data, disappears
Breath, picture, video etc..Memory 504 can be by any kind of volatibility or non-volatile memory device or their group
Close and realize, as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM) are erasable to compile
Journey read-only storage (EPROM), programmable read only memory (PROM), read-only storage (ROM), magnetic memory, flash
Device, disk or CD.
Power supply module 506 provides electric power for the various assemblies of device 50.Power supply module 506 can include power management system
System, one or more power supplys, and other components associated with generating, managing and distributing electric power for device 50.
Multimedia groupware 508 is included in the screen of one output interface of offer between described device 50 and user.One
In a little embodiments, screen can include liquid crystal display (LCD) and touch panel (TP).If screen includes touch panel, screen
Curtain may be implemented as touch-screen, to receive the input signal from user.Touch panel includes one or more touch sensings
Device is with the gesture on sensing touch, slip and touch panel.The touch sensor can not only sensing touch or sliding action
Border, but also detect and touched or the related duration and pressure of slide with described.In certain embodiments, more matchmakers
Body component 508 includes a front camera and/or rear camera.When device 50 is in operator scheme, such as screening-mode or
During video mode, front camera and/or rear camera can receive outside multi-medium data.Each front camera and
Rear camera can be a fixed optical lens system or have focusing and optical zoom capabilities.
Audio-frequency assembly 510 is configured as output and/or input audio signal.For example, audio-frequency assembly 510 includes a Mike
Wind (MIC), when device 50 is in operator scheme, during such as call model, logging mode and speech recognition mode, microphone is configured
To receive external audio signal.The audio signal received can be further stored in memory 504 or via communication component
516 send.In certain embodiments, audio-frequency assembly 510 also includes a loudspeaker, for exports audio signal.
I/O interfaces 512 provide interface between processing component 502 and peripheral interface module, and above-mentioned peripheral interface module can
To be keyboard, click wheel, button etc..These buttons may include but be not limited to：Home button, volume button, start button and lock
Determine button.
Sensor cluster 514 includes one or more sensors, for providing the state estimation of various aspects for device 50.
For example, sensor cluster 514 can detect opening/closed mode of device 50, the relative positioning of component, such as the component
For the display and keypad of device 50, sensor cluster 514 can be with the position of 50 1 components of detection means 50 or device
Change, the existence or non-existence that user contacts with device 50, the orientation of device 50 or acceleration/deceleration and the temperature change of device 50.
Sensor cluster 514 can include proximity transducer, be configured to detect object nearby in no any physical contact
Presence.Sensor cluster 514 can also include optical sensor, such as CMOS or ccd image sensor, in imaging applications
Use.In certain embodiments, the sensor cluster 514 can also include acceleration transducer, gyro sensor, magnetic sensing
Device, pressure sensor or temperature sensor.
Communication component 516 is configured to facilitate the communication of wired or wireless way between device 50 and other equipment.Device
50 can access the wireless network based on communication standard, such as WiFi, 2G or 3G, or combinations thereof.In an exemplary implementation
In example, communication component 516 receives broadcast singal or broadcast related information from external broadcasting management system via broadcast channel.
In one exemplary embodiment, the communication component 516 also includes near-field communication (NFC) module, to promote junction service.Example
Such as, in NFC module radio frequency identification (RFID) technology can be based on, Infrared Data Association (IrDA) technology, ultra wide band (UWB) technology,
Bluetooth (BT) technology and other technologies are realized.
In the exemplary embodiment, device 50 can be believed by one or more application specific integrated circuits (ASIC), numeral
Number processor (DSP), digital signal processing appts (DSPD), PLD (PLD), field programmable gate array
(FPGA), controller, microcontroller, microprocessor or other electronic building bricks are realized, for performing the above method.
In the exemplary embodiment, a kind of non-transitorycomputer readable storage medium including instructing, example are additionally provided
Such as include the memory 504 of instruction, above-mentioned instruction can be performed to complete the above method by the processor 520 of device 50.For example, institute
State non-transitorycomputer readable storage medium can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk and
Optical data storage devices etc..
The embodiment of the present disclosure provides a kind of non-transitorycomputer readable storage medium, the instruction in the storage medium
By device 50 computing device when so that device 50 is able to carry out above-mentioned video information and recommends method, and methods described includes：
When target video carries out inline broadcasting in list of videos, obtained according to multiple video features of the target video
Take one or more recommendation videos；
The list of videos is inserted using one or more of recommendation videos as the playitem of the list of videos
Predeterminated position.
In one embodiment, it is described when target video carries out inline broadcasting in list of videos, according to the target
Multiple video features of video, which obtain one or more recommendation videos, to be included：In the target video is carried out in list of videos
When radio hookup is put, the multiple user characteristicses for the active user for watching the target video are obtained；According to the multiple user characteristics and
The multiple video features, obtain one or more of recommendation videos.
In one embodiment, the playitem using one or more of recommendation videos as the list of videos
Inserting the predeterminated position of the list of videos includes：Broadcasting using one or more of recommendation videos as the list of videos
Entry inserts position adjacent with the target video in the list of videos so that at least one recommendation video is described
Next playitem of list of videos.
In one embodiment, the playitem using one or more of recommendation videos as the list of videos
Inserting the predeterminated position of the list of videos includes：Obtain the total duration of the target video；In the total duration, by described in
One or more recommends predeterminated position of the video as the playitem insertion list of videos of the list of videos.
In one embodiment, the playitem using one or more of recommendation videos as the list of videos
Inserting the predeterminated position of the list of videos includes：According to the multiple video features, prediction active user watches the target
The viewing duration of video；In the viewing duration, using one or more of recommendation video broadcasting as the list of videos
Put the predeterminated position that entry inserts the list of videos.
In one embodiment, the playitem using one or more of recommendation videos as the list of videos
Inserting the predeterminated position of the list of videos includes：It is one or more of in the predeterminated position scrolling display of the list of videos
Recommend playitem corresponding to video.
Those skilled in the art will readily occur to the disclosure its after considering specification and putting into practice disclosure disclosed herein
Its embodiment.The application is intended to any modification, purposes or the adaptations of the disclosure, these modifications, purposes or
Person's adaptations follow the general principle of the disclosure and including the undocumented common knowledges in the art of the disclosure
Or conventional techniques.Description and embodiments are considered only as exemplary, and the true scope of the disclosure and spirit are by following
Claim is pointed out.
It should be appreciated that the precision architecture that the disclosure is not limited to be described above and is shown in the drawings, and
And various modifications and changes can be being carried out without departing from the scope.The scope of the present disclosure is only limited by appended claim.
Claims (14)
1. a kind of video information recommends method, it is characterised in that including：
When target video carries out inline broadcasting in list of videos, one is obtained according to multiple video features of the target video
Individual or multiple recommendation videos；
The default of the list of videos is inserted using one or more of recommendation videos as the playitem of the list of videos
Position.
2. according to the method for claim 1, it is characterised in that described when target video carries out interior radio hookup in list of videos
When putting, obtaining one or more recommendation videos according to multiple video features of the target video includes：
When the target video carries out inline broadcasting in list of videos, obtain the active user's of the viewing target video
Multiple user characteristicses；
According to the multiple user characteristics and the multiple video features, one or more of recommendation videos are obtained.
3. method according to claim 1 or 2, it is characterised in that it is described using it is one or more of recommendation videos as
The predeterminated position that the playitem of the list of videos inserts the list of videos includes：
Using one or more of recommendation videos as the playitem of the list of videos insert in the list of videos with institute
State the adjacent position of target video so that at least one next playitem for recommending video as the list of videos.
4. method according to claim 1 or 2, it is characterised in that it is described using it is one or more of recommendation videos as
The predeterminated position that the playitem of the list of videos inserts the list of videos includes：
Obtain the total duration of the target video；
In the total duration, using one or more of recommendation videos as described in the playitem insertion of the list of videos
The predeterminated position of list of videos.
5. method according to claim 1 or 2, it is characterised in that it is described using it is one or more of recommendation videos as
The predeterminated position that the playitem of the list of videos inserts the list of videos includes：
According to the multiple video features, prediction active user watches the viewing duration of the target video；
In the viewing duration, institute is inserted using one or more of recommendation videos as the playitem of the list of videos
State the predeterminated position of list of videos.
6. method according to claim 1 or 2, it is characterised in that it is described using it is one or more of recommendation videos as
The predeterminated position that the playitem of the list of videos inserts the list of videos includes：
Playitem corresponding to the one or more of recommendation videos of predeterminated position scrolling display in the list of videos.
A kind of 7. video information recommendation apparatus, it is characterised in that including：
Acquisition module, for when target video carries out inline broadcasting in list of videos, according to the multiple of the target video
Video features obtain one or more recommendation videos；
Module is inserted, for being regarded using one or more of recommendation videos as described in the playitem insertion of the list of videos
The predeterminated position of frequency list.
8. device according to claim 7, it is characterised in that the acquisition module includes：
First acquisition submodule, for when the target video carries out inline broadcasting in list of videos, obtaining described in viewing
Multiple user characteristicses of the active user of target video；
Second acquisition submodule, for according to the multiple user characteristics and the multiple video features, obtain it is one or
Multiple recommendation videos.
9. the device according to claim 7 or 8, it is characterised in that the insertion module includes：
First insertion submodule, for being inserted one or more of recommendation videos as the playitem of the list of videos
The position adjacent with the target video in the list of videos so that at least one recommendation video is the list of videos
Next playitem.
10. the device according to claim 7 or 8, it is characterised in that the insertion module includes：
3rd acquisition submodule, for obtaining the total duration of the target video；
Second insertion submodule, in the total duration, one or more of recommendation videos to be arranged as the video
The playitem of table inserts the predeterminated position of the list of videos.
11. the device according to claim 7 or 8, it is characterised in that the insertion module includes：
Submodule is predicted, for according to the multiple video features, when prediction active user watches the viewing of the target video
It is long；
3rd insertion submodule, in the viewing duration, recommending videos as the video using one or more of
The playitem of list inserts the predeterminated position of the list of videos.
12. the device according to claim 7 or 8, it is characterised in that the insertion module includes：
Submodule is rolled, it is corresponding for the one or more of recommendation videos of predeterminated position scrolling display in the list of videos
Playitem.
A kind of 13. video information recommendation apparatus, it is characterised in that including：
Processor；
For storing the memory of processor-executable instruction；
Wherein, the processor is configured as：
When target video carries out inline broadcasting in list of videos, one is obtained according to multiple video features of the target video
Individual or multiple recommendation videos；
The default of the list of videos is inserted using one or more of recommendation videos as the playitem of the list of videos
Position.
14. a kind of computer-readable recording medium, is stored thereon with computer instruction, it is characterised in that the instruction is by processor
The step of any one claim methods described of claim 1 to 6 is realized during execution.
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| CN113420207A (en) * | 2021-06-02 | 2021-09-21 | 杭州当贝网络科技有限公司 | Precise video recommendation method combining video features |
| CN113420207B (en) * | 2021-06-02 | 2022-10-14 | 杭州当贝网络科技有限公司 | Precise video recommendation method combining video features |
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