CN104935964A - Program grouping screening and push method for intelligent television - Google Patents
Program grouping screening and push method for intelligent television Download PDFInfo
- Publication number
- CN104935964A CN104935964A CN201510293649.1A CN201510293649A CN104935964A CN 104935964 A CN104935964 A CN 104935964A CN 201510293649 A CN201510293649 A CN 201510293649A CN 104935964 A CN104935964 A CN 104935964A
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- Prior art keywords
- program
- user
- grouping
- intelligent television
- history data
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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]
- H04N21/20—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
-
- 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
- H04N21/262—Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists
- H04N21/26208—Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists the scheduling operation being performed under constraints
-
- 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
Abstract
The invention proposes a program grouping screening and push method for an intelligent television, and the method comprises the following steps: S1) enabling users to be divided into a plurality of groups according to a preset rule; S2) obtaining program broadcasting historical data of user members of the same group, and classifying the program broadcasting historical data; S3) selecting a certain number of programs according to the program broadcasting historical data, and pushing the programs to the user members of the same group. Because the method employs a mode of dividing the users into groups according to the genders, ages and hobbies of the users, the similar users are divided into the same group. According to the program broadcasting historical data of members of the similar group, the method selects and pushes a program with high broadcasting probability to the members in the same group in a more targeted manner, and greatly improves the probability that the pushed program accords with the interest of the users.
Description
Technical field
The present invention relates to Internet technical field, refer to a kind of intelligent television program grouping screening method for pushing especially.
Background technology
Along with the development of intellectual technology, increasing smart electronics product, such as TV, mobile phone, palmtop PC etc. join in daily life, people can pass through the type informations such as smart electronics products browse all kinds information such as TV programme, video, advertisement, with abundant life.People, when using smart electronics product, need the bulk information amount brought in the face of all kinds information.But when so numerous and jumbled amount of information, people also have no way of doing it gradually, are difficult to the content finding oneself to like by the mode of simple search, need to rely on complicated search, even need the recommendation by friend just can find the information oneself liked.
In the intelligence epoch, the search operation that this redundancy is loaded down with trivial details cannot adapt to the life of people, and people more wish that smart electronics product can be more intelligent, the information namely can recommending required for user more accurately for user.Such as, when different domestic consumers uses television set, user wishes that television set can understand the hobby of user, recommends the programme information required for user in time.
Therefore, how more precisely, to recommend the programme information required for user to become a problem demanding prompt solution in time.
Summary of the invention
The present invention proposes a kind of intelligent television program grouping screening method for pushing, user is carried out similarity grouping according to information such as hobbies by it, and be recorded as user in group according to the broadcasting of group member and push program, thus improve the probability that pushed program meets user interest.
Technical scheme of the present invention is achieved in that
A kind of intelligent television program grouping screening method for pushing, comprises the following steps:
S1) according to the rule preset, user is divided into some groupings;
S2) obtain the program play history data of user member in same grouping and sort out;
S3) push to user member in same grouping according to the program of described program play history data decimation some.
In technique scheme, step S1) described in the rule that presets, comprising:
Divide into groups according to age of user section, sex; Or
Classification belonging to user's history broadcast program is divided into groups; Or
The time sequencing playing certain program according to user is divided into groups on a time period.
Above-mentioned steps S1) according to the rule that presets, user is divided into some groupings, every one section of default time repetitive operation once, namely repartition user grouping.
In technique scheme, same user can be subdivided into different groupings according to different rules of classification.
In technique scheme, step S2) obtain the program play history data of user member in same grouping and sort out, comprising:
Obtain the program play history data of user member in same grouping, and each program is sorted according to broadcasting time descending order; Or
Obtain the program play history data of user member in same grouping, and each program is from morning to night sorted according to reproduction time.
In technique scheme, step S2) obtain the program play history data of user member in same grouping and sort out, refer to and obtain program play history data in a certain preset time period of user member in same grouping and sort out.A certain preset time period herein can be last week, last month, the time period in last season etc.
In technique scheme, step S3) in, described in choose some program comprise:
According to step S2) the order sequence from big to small of middle program broadcasting time, choose the preceding N number of program of broadcasting time sequence; Or
According to step S2) in the sequence from morning to night carried out of program play times, choose the preceding N number of program of reproduction time sequence.
In sum, intelligent television program grouping screening method for pushing of the present invention, takes the mode of first user being carried out according to its sex, age, hobby etc. dividing into groups, similar user is grouped together; And then according to the program play history data of a little group member of similar users, choose the program playing probability high more targetedly and push to member in same a small group, greatly improve the probability pushing program and meet user interest hobby.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the flow chart of steps of intelligent television program of the present invention grouping screening method for pushing.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
A kind of intelligent television program grouping screening method for pushing, comprises the following steps:
S1) according to the rule preset, user is divided into some groupings;
S2) obtain the program play history data of user member in same grouping and sort out;
S3) push to user member in same grouping according to the program of described program play history data decimation some.
In technique scheme, step S1) described in the rule that presets, comprising:
Divide into groups according to age of user section, sex; Or
Classification belonging to user's history broadcast program is divided into groups; Or
The time sequencing playing certain program according to user is divided into groups on a time period.
Above-mentioned steps S1) once again divide into groups every one default period.This period can be weekly, every month, each season or other times section etc.Because As time goes on, the data of nearest time more can reflect the true preferences of user.
Such as, by user according to 0 ~ 7 years old, 8 ~ 13 years old, 14 ~ 21 years old, within 22 ~ 32 years old, wait age bracket to divide into groups, the user of similar age bracket is grouped together, user due to similar age bracket compares similar hobby, more targeted when making to choose propelling movement program.
Classification belonging to user's history broadcast program is divided into groups, and user grouping can be made more to meet its hobby, and such as certain user's history broadcast program belongs to science fiction film more, then put under science fiction play staff; If user's history broadcast program belongs to war film more, then put under war play staff; Thus make user interest hobby in same grouping close.
The time sequencing playing certain program according to user is divided into groups on a time period, because dissimilar user is to newly showing concern time of program and dynamics is different, some user likes showing the very first time at program and watches, some user likes watching after a program has obtained popular favorable comment, after time sequencing user being play certain program sorts, then according to the time period of viewing same or similar program, user can be classified, make the user in same grouping within a period of time in future, similar attention rate can be had to some programs, this a kind of user sees acute psychology and finds and sum up, the program being more conducive to push meets the acute psychology of sight of user.
It will be understood by those skilled in the art that same user can be subdivided into different groupings according to different rules of classification.Such as put user's first under 22 ~ 32 years old age group according to age bracket; Its history broadcast program belongs to science fiction play, costume piece more simultaneously, then put science fiction play staff and ancient costume play staff under simultaneously; Because it often carries out program request in the very first time that new play is shown, so put under new play staff, namely whenever having the qualified directory to show, the very first time just carries out program push to this group membership; User's first can receive the program belonging to 22 ~ 32 years old age group, science fiction play staff and ancient costume play staff, upper new play staff and push simultaneously.Certainly above program can also carry out layout and screening according to more existing rules.
In technique scheme, step S2) obtain the program play history data of user member in same grouping and sort out, comprising:
Obtain the program play history data of user member in same grouping, and each program is sorted according to broadcasting time descending order; Or
Obtain the program play history data of user member in same grouping, and each program is from morning to night sorted according to reproduction time.
In technique scheme, step S2) obtain the program play history data of user member in same grouping and sort out, refer to and obtain program play history data in a certain preset time period of user member in same grouping and sort out.
A certain preset time period herein can be last week, last month, the time period in last season etc.
In technique scheme, step S3) in, described in choose some program comprise:
According to step S2) the order sequence from big to small of middle program broadcasting time, choose the preceding N number of program of broadcasting time sequence; Or
According to step S2) in the sequence from morning to night carried out of program play times, choose the preceding N number of program of reproduction time sequence.
In technique scheme, N is natural number, such as 3,5,10 etc.
After different user has been carried out grouping according to its similarity, user in a group has had the custom of more close viewing program, on this basis to the program play history data analysis of member in same a small group, and carry out program screening and propelling movement according to result, greatly can improve and push the probability that program caters to user interest.
So by the program that user's members in same grouping is play, after sorting from big to small according to its broadcasting time, the comparatively interested program of necessarily same group user sorting forward, gives with the welcome probability of group user larger by such program push.
By the program that user's members in same grouping is play, from morning to night sort according to this program play times, select the program that reproduction time is forward, such program push also can, at the program play in the recent period, be given with the welcome probability of user in group larger by this kind of program often other members of this group.
It will be understood by those skilled in the art that in above all technical schemes, program screening mode of the prior art all can be adopted to carry out sifting sort as a supplement.
In sum, intelligent television program grouping screening method for pushing of the present invention, takes the mode of first user being carried out according to its sex, age, hobby etc. dividing into groups, similar user is grouped together; And then according to the program play history data of a little group member of similar users, choose the program playing probability high more targetedly and push to member in same a small group, greatly improve the probability pushing program and meet user interest hobby.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (9)
1. an intelligent television program grouping screening method for pushing, is characterized in that, comprise the following steps:
S1) according to the rule preset, user is divided into some groupings;
S2) obtain the program play history data of user member in same grouping and sort out;
S3) push to user member in same grouping according to the program of described program play history data decimation some.
2. intelligent television program grouping screening method for pushing according to claim 1, is characterized in that:
Step S1) described in the rule that presets, comprising:
Age of user section, sex; Or
Classification belonging to user's history broadcast program; Or
The time period that the time sequencing that user plays certain program divides.
3. intelligent television program grouping screening method for pushing according to claim 2, is characterized in that:
Step S2) obtain the program play history data of user member in same grouping and sort out, be specially:
Obtain the program play history data of user member in same grouping, and each program is sorted according to broadcasting time descending order.
4. intelligent television program grouping screening method for pushing according to claim 2, is characterized in that:
Step S2) obtain the program play history data of user member in same grouping and sort out, be specially:
Obtain the program play history data of user member in same grouping, and each program is from morning to night sorted according to reproduction time.
5. intelligent television program grouping screening method for pushing according to claim 3, is characterized in that:
Step S3) in, described in choose some program be specially:
According to step S2) the order sequence from big to small of middle program broadcasting time, choose the preceding N number of program of broadcasting time sequence.
6. intelligent television program grouping screening method for pushing according to claim 4, is characterized in that:
Step S3) in, described in choose some program be specially:
According to step S2) in the sequence from morning to night carried out of program play times, choose the preceding N number of program of reproduction time sequence.
7. the intelligent television program grouping screening method for pushing according to any one of any one of claim 1 to 6, is characterized in that:
Step S2) obtain the program play history data of user member in same grouping and sort out, refer to and obtain program play history data in a certain preset time period of user member in same grouping and sort out.
8. intelligent television program grouping screening method for pushing according to claim 7, is characterized in that:
Described a certain preset time period is last week or last month or last season.
9. intelligent television program grouping screening method for pushing according to claim 1, is characterized in that:
Step S1) according to the rule that presets, user is divided into some groupings, every one section of default time repetitive operation once.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510293649.1A CN104935964A (en) | 2015-06-02 | 2015-06-02 | Program grouping screening and push method for intelligent television |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201510293649.1A CN104935964A (en) | 2015-06-02 | 2015-06-02 | Program grouping screening and push method for intelligent television |
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| CN104935964A true CN104935964A (en) | 2015-09-23 |
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| CN201510293649.1A Pending CN104935964A (en) | 2015-06-02 | 2015-06-02 | Program grouping screening and push method for intelligent television |
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| CN106507317A (en) * | 2016-09-05 | 2017-03-15 | 努比亚技术有限公司 | A kind of method and device for setting up group |
| CN106604067A (en) * | 2016-12-30 | 2017-04-26 | 中广热点云科技有限公司 | Video browse information classification method and server |
| CN106973327A (en) * | 2017-04-28 | 2017-07-21 | 张青 | It is capable of the intelligent TV set and its control system and control method of intelligently pushing content |
| CN107730271A (en) * | 2017-09-20 | 2018-02-23 | 北京奇艺世纪科技有限公司 | Similar users based on virtual interacting object determine method, apparatus and electronic equipment |
| CN107784066A (en) * | 2017-08-25 | 2018-03-09 | 上海壹账通金融科技有限公司 | Information recommendation method, device, server and storage medium |
| CN110072129A (en) * | 2018-01-22 | 2019-07-30 | 上海鹰信智能技术有限公司 | Based on vehicle-mounted interconnection push, save the method for playing record, a kind of playback method |
| CN113905037A (en) * | 2021-06-18 | 2022-01-07 | 武汉理工数字传播工程有限公司 | File transmission management method, device, equipment and storage medium |
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Application publication date: 20150923 |
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