CN106131601A - Video recommendation method and device - Google Patents
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- CN106131601A CN106131601A CN201610500447.4A CN201610500447A CN106131601A CN 106131601 A CN106131601 A CN 106131601A CN 201610500447 A CN201610500447 A CN 201610500447A CN 106131601 A CN106131601 A CN 106131601A
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- 238000011524 similarity measure Methods 0.000 description 4
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Classifications
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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
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/431—Generation of visual interfaces for content selection or interaction; Content or additional data rendering
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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]
- H04N21/20—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
-
- 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
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25891—Management of end-user data being end-user 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
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
- H04N21/44222—Analytics of user selections, e.g. selection of programs or purchase activity
-
- 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
- H04N21/4667—Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
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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
- H04N21/472—End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content
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Abstract
The embodiment of the present invention provides a kind of video recommendation method and device.Show the recommendation video preset;During described recommendation video display, obtain and recommend video undated parameter;Update the recommendation order of described recommendation video according to described recommendation video undated parameter, thus show described recommendation video according to the described recommendation order after updating.Achieve more intelligent video recommendations, improve Consumer's Experience.
Description
Technical field
The present invention relates to video technique field, particularly relate to a kind of video recommendation method and device.
Background technology
Terminal in video playback, it will usually recommend the possible video interested of some users for user.The display of terminal
Multiple display block, a portion display block is had for recommending block, to be exclusively used in and recommend video to user on interface.At video
During recommendation, can recommend according to video type, protagonist personnel.
At present, video terminal, when user is carried out video recommendations, is being recommended block, is being had one and change function, also
That is, user clicks on and changes button, and terminal can be the content that user changes recommendation.Every is once changed, next time
The content recommendation of display is by different from currently displaying recommendation results.But, existing this recommendation pattern, have a disadvantage in that,
It is limited for recommending the content comprised in the space in block and recommendation block, clicks on the number of times changed and reaches some
Afterwards, it is recommended that content can be circulated.Such as, arranging 5 circulations in advance and recommend the space of a whole page in recommending block, each is recommended
The space of a whole page comprises four video recommendations cards, these 5 video recommendations cards recommended in the spaces of a whole page and each recommendation space of a whole page and pushing away
The circulation recommended between the space of a whole page arranges in a fixed order, and user every once changes, it is recommended that block is all by according to set suitable
Sequence recommends video card to user.But inventor finds during realizing the present invention, the shortcoming of above-mentioned recommendation method exists
In, if user wants to find the high video of click volume or video type interested, it is likely that need repeatedly to change
Can find even change one alternatively after still can not find, such recommendation is the most intelligent, it is impossible to enough carrying out the most adaptively recommends video
Renewal.
To sum up, a kind of new video recommendation method urgently proposes.
Summary of the invention
The embodiment of the present invention provides a kind of video recommendation method and device, in order to solve video recommendation system in prior art
Can not good fit user interest and the defect of video hot topic degree, it is achieved more intelligent video recommendations.
The embodiment of the present invention provides a kind of video recommendation method, including:
Show the recommendation video preset;
During described recommendation video display, obtain and recommend video undated parameter;
The recommendation order of described recommendation video is updated according to described recommendation video undated parameter, thus according to the institute after updating
State recommendation order and show described recommendation video.
The embodiment of the present invention provides a kind of video recommendations device, including:
Display module, for showing default recommendation video;
Data acquisition module, for during described recommendation video display, obtains and recommends video undated parameter;
More new module, for updating the recommendation order of described recommendation video according to described recommendation video undated parameter, thus
Described recommendation video is shown according to the described recommendation order after updating.
The video recommendation method of embodiment of the present invention offer and device, push away by obtaining during the displaying recommending video
Recommend video undated parameter and according to described undated parameter to recommending video to be updated, change and prior art carries out video push away
When recommending, video recommendation system can not good fit user interest and the defect of video hot topic degree, it is achieved that video recommendation system
More intelligent and hommization, promote user's body viewing test.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
In having technology to describe, the required accompanying drawing used is briefly described, it should be apparent that, the accompanying drawing in describing below is this
Some bright embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to root
Other accompanying drawing is obtained according to these accompanying drawings.
Fig. 1 is the techniqueflow chart of the embodiment of the present application one;
Fig. 2 is the techniqueflow chart of the embodiment of the present application two;
Fig. 3 is the techniqueflow chart of the embodiment of the present application three;
Fig. 4 is the techniqueflow chart of the embodiment of the present application four;
Fig. 5 is the apparatus structure schematic diagram of the embodiment of the present application five.
Detailed description of the invention
For making the purpose of the embodiment of the present invention, technical scheme and advantage clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
The a part of embodiment of the present invention rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under not making creative work premise, broadly falls into the scope of protection of the invention.
Fig. 1 is the techniqueflow chart of the embodiment of the present application one, in conjunction with Fig. 1, the embodiment of the present application one video recommendation method
Can include the following step that realizes:
Step S110: show the recommendation video preset;
Concrete, show described default recommendation video, can carry out in the recommendation region of terminal.Described recommendation region,
Can be the recommendation channel of application program, it is also possible to be to preset on any page of application program, such as, each video playback page
Specific region, user is when watching a certain video, when half screen is play, in addition to player, display circle of application program
Also have the menu page of half screen on face, in described half screen menu page except collection of drama, vote, in addition to the information such as comment, generally can also arrange
One recommendation hurdle, it is recommended that or the performer identical with currently playing video subject that can be shown as user's recommendation in hurdle uses on an equal basis
The video that family may be liked.
Described default recommendation video, can be to obtain according to following strategy:
One, obtains the popular video of network service end, selects a number of popular video may feel emerging as user
The video of interest, and as recommending video to show in terminal;
Its two, according to user the whole network (under Entered state) history watch record, such as, the list of videos watched,
Thus analyze the video type interested of user, and choose necessarily at network service end according to the video type that user is interested
The video of quantity is as the possible video interested of user, and shows in terminal as recommendation video;
Its three, obtain user personal information, such as, the age of user, sex, occupation, location, mood states etc.
Deng, it is that user recommends the possible video interested of user according to the personal information of user.In the embodiment of the present application, it is possible to use use
The various social platform at family obtain the personal information of user, such as, microblogging, QQ, circle of friends etc., by these social platform, obtain
Take the writing record at family, forward content etc., and summary content is analyzed obtaining the personal information of user, according to individual
Information is that user recommends the possible video interested of user.Such as, if user often forward in microblogging class of making laughs video or
The video point of class of making laughs often is praised by person, then the video of class it is believed that user likes making laughs, and optional a number of efficiently regards
Frequency is as the possible video interested of user and as recommending video to show in terminal.
Above-mentioned three kinds of feasible patterns can be used alone also to can be combined and use, it should be understood that, the application implements
The acquisition mode recommending video described in example is not limited in above-mentioned three kinds.
Step S120: during described recommendation video display, obtains and recommends video undated parameter;
In this step, the process of described recommendation video display, refer specifically to, recommendation video is issued to terminal by network service end
Afterwards, terminal show to user so that user selects according to the content recommendation shown in default region.
In a kind of optional embodiment of the embodiment of the present application, the exhibition method of described recommendation video can be card form
Existing, recommend card according to the alternately display of default strategy for every, wherein, described default strategy may is that every is recommended card
Sheet is according to the alternately display of default time interval;And/or every recommend card receive triggering (clicking operation of user or
The instruction of service end) the most alternately display.Such as, the homepage of end application recommends hurdle to arrange 9 cards, every card exhibition
Show a video recommended, alternately exist between each card, i.e. first card shows the time preset, and replaces afterwards
Show to second card sheet, second card sheet show preset between after be substituted into the 3rd card and show, depend on
Secondary analogize until being shown to the 9th card;After 9th card shows the time preset, recirculation is shown to first card
Sheet shows, remaining display process and above-mentioned repetition, repeats no more.Display between first card to the 9th card is suitable
Sequence pre-sets, and is shown in a fixed order.In a kind of feasible embodiment, if at each card
During sheet replaces, user is reluctant to wait the described default time, then user can recall next by slip current card
Open card or select click " changing " button to recall next card.
In the another kind of optional embodiment of the embodiment of the present application, the exhibition method of described recommendation video can be with palace lattice
Form exists, and each lattice show that is recommended a video.Usual multiple palaces lattice are one and recommend the page, and multiple recommendation pages are according in advance
If rule alternately display, wherein, described preset rules may is that multiple recommendation page is automatic according to a certain fixed time interval
Alternately display;And/or, multiple recommendation pages are handed over after receiving triggering (clicking operation of user or the instruction of service end)
For display.Such as, recommending column to arrange six palace lattice, each palace lattice show that is recommended a video.User " can change by clicking on
One changes " button triggers the renewal showing content in palace lattice.Such as, the current six palace lattice recommending column illustrate first to recommend
6 videos, user trigger once change button, the video in six palace lattice will all be replaced with default second batch video,
After user triggers again, the video in six palace lattice is all replaced with default the 3rd crowd video, by that analogy until showing institute
There is default recommendation video, and again proceed by displaying from first video.
Video undated parameter is recommended in acquisition described in this step, refers specifically to, and acquisition can update described recommendation video exhibition
Show the parameter of order.Recommend region be the described recommendation video that user recommends be synthetic user long-term history viewing record and
The recommendation results that in presetting a period of time, popular video obtains, can with user's current interest type or current time hot topic video
Certain difference can be there is.When showing multiple recommendation video to user, either use card timing replacement or palace lattice more
The new mode replaced, user is required for taking time and searches out oneself video interested in the video recommended, it is impossible to when first
Between be quickly found out video council interested and be substantially reduced the experience of user.In the embodiment of the present application, described by obtaining
Video undated parameter, is placed on the position of the front of recommendation by the video that user may be most interested in, and thus, user can be
Target video is without waiting for a period of time or by the troublesome operation of " changing " to recommend column quickly to find.Such as, according to
The exhibition method of the described recommendation video that above two is feasible, after getting described video undated parameter, can be possible by user
Most interested recommendation video is placed on first card or second card sheet is shown or user may be most interested in
Recommend video be placed on the forward position of first content recommendation.
Concrete, in the present embodiment, described video undated parameter, the current interest type of user and current can be included
The tag along sort that the video of moment high click volume is corresponding.
Step S130: according to the recommendation order of the described recommendation video undated parameter described recommendation video of renewal, thus according to
Described recommendation order after renewal shows described recommendation video.
The recommendation order updating described recommendation video described in this step, it is intended that most may feel emerging by user
The video arrangement of interest in the forward position of all recommendation videos, thus, it goes without doing that the most loaded down with trivial details operation gets final product first for user
Time gets target video, the most convenient, improves Consumer's Experience further.
It should be noted that in the embodiment of the present application, all video resources of network server end have corresponding classification
Label, described tag along sort includes video type, such as TV play, film, variety show, physical culture, original etc.;Including video
Theme, such as, history, spy war, comedy, describing love affairs etc.;Director's protagonist and show time of also including video etc. can be to regarding
All information that frequency illustrates, are not restricted to above-mentioned several labels, and certainly, each video can correspondence one or many
Individual label.
The front described recommendation order updating described recommendation video according to described recommendation video undated parameter is put in sequence, specifically may be used
To use such a way: obtain all video tabs of each video in described recommendation video, and enter with described undated parameter
Row Similarity Measure, shows institute according to the described recommendation order after updating described in preposition for the sequence of video high for similarity score
State recommendation video, be the process again shown of described recommendation video after ranking replacement, concrete, the triggering side that again shows
Formula when can be and be then turned on after user exits the page be user show the described recommendation video after ranking replacement or, user clicks on tactile
Send out button (such as " changing " button) and refresh the sequence of described recommendation video afterwards for user.Above two mode is all in accordance with user
Practical operation depending on, the embodiment of the present application does not limits.
In the present embodiment, by recommend video displaying during obtain recommend video undated parameter and according to described more
New parameter, to recommending video to be updated, changes when carrying out video recommendations in prior art, and video recommendation system can not be good
Laminating user interest and the defect of video hot topic degree, it is achieved that the more intelligent and hommization of video recommendation system, promote
User's body viewing experience.
Fig. 2 is the techniqueflow chart of the embodiment of the present application two, in conjunction with Fig. 2, the embodiment of the present application one video recommendation method
Can there is following embodiment further:
Step S210: show the recommendation video preset;
Step S220: obtain the viewing record of user during described recommendation video display;
Step S230: obtain user's current interest type according to described viewing record, and with described user's current interest class
Type is as described recommendation video undated parameter;
Step S240: according to described user's current interest type, by described recommendation video, with described user's current interest
Recommendation video corresponding to type is preposition.
Concrete, in step S240, by described recommendation video, the recommendation corresponding with described user's current interest type
Video is preposition, specifically can use such a way: read the video tab of each video in described recommendation video, and with described
User's current interest type carries out Similarity Measure, by preposition for the sequence of video high for similarity score or top set shows;Example
As, during the displaying of described recommendation video, user mostly is the variety show of reality TV show class at the record of watching of terminal, then may be used
Think that the interest pattern of user's current time is variety reality TV show, then by described recommendation video, accord with variety reality TV show type
The DISPLAY ORDER of the video that conjunction or performer meet is placed on recommendation video and shows forward position.
In the present embodiment, by obtaining user's current interest type during the displaying recommending video and working as according to user
Described recommendation video is updated by front interest pattern, thus when carrying out video recommendations to user, can be by user's current time
The recommendation order of the video that most probable is interested comes the forward position of described recommendation video, user without waiting for and need not appoint
With regard to energy quick obtaining target video in the case of what troublesome operation, improve the Consumer's Experience of terminal further.
Fig. 3 is the techniqueflow chart of the embodiment of the present application three, in conjunction with Fig. 3, the embodiment of the present application one video recommendation method
Can there is following embodiment further:
Step S310: show the recommendation video preset;
Step S320: during described recommendation video display, obtains the click volume of current time video resource;
Step S330: according to described click volume, select the video of predetermined number;
Step S340: obtain the tag along sort that the video of described predetermined number is corresponding, and using described tag along sort as institute
State video undated parameter.
Step S350: according to described tag along sort, by described recommendation video, the recommendation met with described tag along sort regards
The sequence of frequency is preposition.
Concrete, in step S330, the video of described selection predetermined number, can be specifically to select according to click volume descending
Selecting the video of predetermined number, selected video click volume is higher, can be considered as popular video.
Concrete, in step S350, when described video undated parameter is that terminal click volume described in described current time is high
Tag along sort corresponding to video time, by described recommendation video, before the sequence recommending video met with described tag along sort
Put, specifically can use such a way: read the video tab of each video in described recommendation video, will meet described currently
The video tab that video that terminal click volume described in moment is high is corresponding carries out Similarity Measure, by similarity with described video tab
The sequence of the video that score is high is preposition.Wherein, described click volume, can be by a certain user click history on personal terminal
Analysis obtains, it is also possible to the click historical analysis of all terminal uses obtained by server is obtained, or can also is that
State two kinds of analyses and obtain the weighing computation results of data.Such as, current time, the point of all terminal uses that server gets
Hit in historical data, click volume seniority among brothers and sisters first and second video be respectively a certain competitive sports and a certain news heat
Point, then when updating the recommendation order of described recommendation video, can be by the program of sport category and relevant to described hot news
Video sequence in described recommendation video in advance, is placed on first and second of recommendation list, and so, user is recommending district
The most popular recommendation video the most just can be found in territory.
In the present embodiment, by obtaining the point of terminal video resource described in current time during the displaying recommending video
The amount of hitting, and according to described click volume, described recommendation video is updated, thus terminal is when carrying out video recommendations to user, energy
By video arrangement the most popular for current time in the forward position of described recommendation video, user without waiting for and need not be any numerous
With regard to energy quick obtaining target video in the case of trivial operation, improve the Consumer's Experience of terminal further.
Fig. 4 is the techniqueflow chart of the embodiment of the present application four, in conjunction with Fig. 4, and the side of a kind of video recommendations of the embodiment of the present application
Method, update recommend video sequence time, also can take such a way:
Step S410: show the recommendation video preset;
Step S420: during described recommendation video display, obtains user's current interest according to described viewing record
Type, and recommend video undated parameter using described user's current interest type as first;
Step S430: obtain the click volume of current time video resource, and according to described click volume, select predetermined number
Video;
Step S440: obtain the tag along sort that the video of described predetermined number is corresponding, and using described tag along sort as
Two video undated parameters;
Step S450: described user's current interest type and described tag along sort are respectively provided with weight, according to described
Weight, adjusts the sequence of described recommendation video.
In this step, in a kind of feasible embodiment, described user's current interest type can be given the first power
Weight values, gives the second weighted value for described tag along sort.
Obtain all video tabs of each video in described recommendation video, respectively with described first undated parameter and institute
State the second undated parameter to carry out Similarity Measure and obtain the first similarity and the second similarity;
For each video in described recommendation video, it is comprehensive must be divided into:
First similarity * the first weighted value the+the second similarity * the second weighted value
After obtaining the comprehensive score of each recommendation video, according to score by described recommendation video descending.Wherein, described
First weighted value and the second weighted value can be identical, it is also possible to different, and the application implements not do any restriction.
In the present embodiment, by obtaining user's current interest type and current time during the displaying recommending video
The click volume of described terminal video resource also arranges different weights to above two parameter, and the power of two kinds of parameters of summary
Heavily described recommendation video is updated, thus terminal is when carrying out video recommendations to user, it is achieved that more intelligent recommendation
Video sorts, and promotes the embodiment of user in place of details, for terminal maintenance client, significant.Fig. 5 is that the application is real
Execute the apparatus structure schematic diagram of example five, in conjunction with Fig. 5, the embodiment of the present application one video recommendations device, following mould can be included
Block:
Display module 51, for showing default recommendation video;
Data acquisition module 52, for during described recommendation video display, obtains and recommends video undated parameter;
More new module 53, for updating the recommendation order of described recommendation video according to described recommendation video undated parameter, from
And show described recommendation video according to the described recommendation order after updating.
Wherein, described data acquisition module 52, it is used for: obtain the viewing note of user during described recommendation video display
Record;User's current interest type is obtained according to described viewing record, and using described user's current interest type as described recommendation
Video undated parameter.
Wherein, described more new module 53, it is used for: according to described user's current interest type, by described recommendation video, with
Recommendation video corresponding to described user's current interest type is preposition.
Wherein, described data acquisition module 52, it is used for: obtain the click volume of current time video resource, and according to described
Click volume, selects the video of predetermined number;Obtain the tag along sort that the video of described predetermined number is corresponding, and with described contingency table
Sign as described video undated parameter.
Wherein, described more new module 53, it is used for: according to described tag along sort, by described recommendation video, with described classification
The sequence of the recommendation video that label meets is preposition.
Wherein, described more new module 53 is additionally operable to: to described user's current interest type and described tag along sort difference
Weight is set, according to described weight, adjusts the sequence of described recommendation video.
In the present embodiment, by recommend video displaying during obtain recommend video undated parameter and according to described more
New parameter, to recommending video to be updated, changes when carrying out video recommendations in prior art, and video recommendation system can not be good
Laminating user interest and the defect of video hot topic degree, it is achieved that the more intelligent and hommization of video recommendation system, promote
User's body viewing experience.
Device embodiment described above is only schematically, and the wherein said unit illustrated as separating component can
To be or to may not be physically separate, the parts shown as unit can be or may not be physics list
Unit, i.e. may be located at a place, or can also be distributed on multiple NE.Can be selected it according to the actual needs
In some or all of module realize the purpose of the present embodiment scheme.Those of ordinary skill in the art are not paying creativeness
Work in the case of, be i.e. appreciated that and implement.
Through the above description of the embodiments, those skilled in the art it can be understood that to each embodiment can
The mode adding required general hardware platform by software realizes, naturally it is also possible to pass through hardware.Based on such understanding, on
State the part that prior art contributes by technical scheme the most in other words to embody with the form of software product, should
Computer software product can store in a computer-readable storage medium, such as ROM/RAM, magnetic disc, CD etc., including some fingers
Make with so that a computer installation (can be personal computer, server, or network equipment etc.) performs each and implements
The method described in some part of example or embodiment.
Last it is noted that above example is only in order to illustrate technical scheme, it is not intended to limit;Although
With reference to previous embodiment, the present invention is described in detail, it will be understood by those within the art that: it still may be used
So that the technical scheme described in foregoing embodiments to be modified, or wherein portion of techniques feature is carried out equivalent;
And these amendment or replace, do not make appropriate technical solution essence depart from various embodiments of the present invention technical scheme spirit and
Scope.
Claims (12)
1. a video recommendation method, it is characterised in that including:
Show the recommendation video preset;
During described recommendation video display, obtain and recommend video undated parameter;
The recommendation order of described recommendation video is updated according to described recommendation video undated parameter, suitable according to the described recommendation after updating
Sequence shows described recommendation video.
Method the most according to claim 1, it is characterised in that obtain described video undated parameter, including:
Obtain the viewing record of user during described recommendation video display;
Described user's current interest type is obtained according to described viewing record, and using described user's current interest type as described
Recommend video undated parameter.
Method the most according to claim 2, it is characterised in that update described recommendation according to described recommendation video undated parameter
The recommendation order of video, including:
According to described user's current interest type, by described recommendation video, with described user's corresponding pushing away of current interest type
Recommend video preposition.
Method the most according to claim 1 and 2, it is characterised in that obtain described video undated parameter, including:
Obtain the click volume of current time video resource, and according to described click volume, select the video of predetermined number;
Obtain the tag along sort that the video of described predetermined number is corresponding, and update ginseng using described tag along sort as described video
Number.
Method the most according to claim 4, it is characterised in that update described recommendation according to described recommendation video undated parameter
The recommendation order of video, including:
According to described tag along sort, by described recommendation video, before the sequence recommending video matched with described tag along sort
Put.
Method the most according to claim 5, it is characterised in that described method also includes:
Described user's current interest type and described tag along sort are respectively provided with weight, according to described weight, adjust described
Recommend the sequence of video.
7. a video recommendations device, it is characterised in that including:
Display module, for showing default recommendation video;
Data acquisition module, for during described recommendation video display, obtains and recommends video undated parameter;
More new module, for updating the recommendation order of described recommendation video according to described recommendation video undated parameter, thus according to
Described recommendation order after renewal shows described recommendation video.
Device the most according to claim 7, it is characterised in that described data acquisition module, is used for:
Obtain the viewing record of user during described recommendation video display;
Described user's current interest type is obtained according to described viewing record, and using described user's current interest type as described
Recommend video undated parameter.
Device the most according to claim 8, it is characterised in that described more new module, is used for:
According to described user's current interest type, by described recommendation video, with described user's corresponding pushing away of current interest type
Recommend video preposition.
10., according to the device described in claim 7 or 8, it is characterised in that described data acquisition module, it is used for:
Obtain the click volume of current time video resource, and according to described click volume, select the video of predetermined number;
Obtain the tag along sort that the video of described predetermined number is corresponding, and update ginseng using described tag along sort as described video
Number.
11. devices according to claim 10, it is characterised in that described more new module, are used for:
According to described tag along sort, by described recommendation video, before the sequence recommending video matched with described tag along sort
Put.
12. devices according to claim 11, it is characterised in that described more new module is additionally operable to:
Described user's current interest type and described tag along sort are respectively provided with weight, according to described weight, adjust described
Recommend the sequence of video.
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102088626A (en) * | 2009-12-02 | 2011-06-08 | Tcl集团股份有限公司 | On-line video recommendation method and video portal service system |
CN102685566A (en) * | 2012-05-28 | 2012-09-19 | 北京网尚数字电影院线有限公司 | Recommendation method for audio and video programs |
CN104796777A (en) * | 2015-04-26 | 2015-07-22 | 成都创行信息科技有限公司 | Hot video information pushing method |
CN105095431A (en) * | 2015-07-22 | 2015-11-25 | 百度在线网络技术(北京)有限公司 | Method and device for pushing videos based on behavior information of user |
CN105282565A (en) * | 2015-09-29 | 2016-01-27 | 北京奇艺世纪科技有限公司 | Video recommendation method and device |
-
2016
- 2016-06-29 CN CN201610500447.4A patent/CN106131601A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102088626A (en) * | 2009-12-02 | 2011-06-08 | Tcl集团股份有限公司 | On-line video recommendation method and video portal service system |
CN102685566A (en) * | 2012-05-28 | 2012-09-19 | 北京网尚数字电影院线有限公司 | Recommendation method for audio and video programs |
CN104796777A (en) * | 2015-04-26 | 2015-07-22 | 成都创行信息科技有限公司 | Hot video information pushing method |
CN105095431A (en) * | 2015-07-22 | 2015-11-25 | 百度在线网络技术(北京)有限公司 | Method and device for pushing videos based on behavior information of user |
CN105282565A (en) * | 2015-09-29 | 2016-01-27 | 北京奇艺世纪科技有限公司 | Video recommendation method and device |
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