CN103491441A - Recommendation method and system of live television programs - Google Patents
Recommendation method and system of live television programs Download PDFInfo
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Abstract
The invention provides a recommendation method and system of live television programs. The recommendation method of the live television programs comprises the steps of (1) obtaining a program watching record, on a program menu, of a user according to a historical watching record of the user and the program menu of channels which are fetched by the user, (2) obtaining program metadata according to the program watching record, on the program menu, of the user, (3) obtaining a television program preference record of the user according to the historical watching record of the user and the program metadata, (4) selecting the program menu according to moving sliding windows, obtaining the preference degree of the user to each program according to the program menu and the television program preference record of the user, (5) selecting a neighbor user who has the similar interests as the user according to the moving sliding windows to obtain a statistical record of the situation that television programs are watched in the time periods corresponding to the moving sliding windows, and (6) recommending the television programs in the time periods corresponding to the moving sliding windows to the user according to the statistical record and the preference degree of the user to each program on the program menu. When the recommendation method and system of the live television programs are used, the purpose of accurate recommendation of the television programs can be achieved.
Description
Technical field
The present invention relates to the digital television program recommending technical field, more specifically, relate to a kind of live television programming recommend method and system.
Background technology
At present, intelligent TV set, Set Top Box and Online Video website etc. provide the product of video content very universal to the user, and existing television program recommendations schematic flow sheet has as shown in Figure 1 also been arranged much for the recommendation solution of multimedia video.
As shown in Figure 1, in this television program recommendations flow process, utilize collaborative filtering, find with the identical customer group of targeted customer's interest, find then to be pushed to the targeted customer by the program that they like from these customer groups.
In prior art, similarly algorithm is all often more effective for request program (Video On Demand), because request program does not have strong ageing characteristics.But be aimed at the recommendation of live content, utilize above-mentioned recommended flowsheet can cause recommendation results that very large deviation is arranged on accuracy, the reason that produces deviation mainly contains following 3 points:
First: the deviation on user interest point.
In obtaining the watching record of user process, because the order video content is fixing, can directly obtain user's the recorded information of watching program, but in direct broadcast band, conventional method can only be obtained the channel information (for example CCTV5) that the user watches, and can't obtain the user and see to obtain particular content information (for example Basketball Match).This there will be larger error on follow-up discovery user interest point.Current proposed algorithm mainly is divided into two large classes:
A) a kind of content that is based on is recommended, and according to the metadata information of video, utilizes the text mining method to find to contain with the video set of its similar finite element data message to be recommended.This method for example, for order video still relatively effectively (excellent is exactly extremely to utilize the method), but use is not very large for direct broadcast band, for example, because being actually the integral body introduction (CCTV5 is sports station) of channel, the metadata information of direct broadcast band often do not contain concrete content information, so just cause metadata information very general, the video content of recommendation is very not accurate.
B) another kind is based on user behavior data and is recommended, and for example collaborative filtering, utilize and find that browsing with the targeted customer behavior of jointly browsing of liking identical user group is recommended.This method often is only applicable to on-demand content, and due to the direct broadcast band content, because its content changes, instant two people are delithted with the CCTV5(sports station), but they very possible one like one, basketball to like football.
Second: the deviation that channel content changes.
Because the order video content is fixed, for the video set of recommending, the user can directly click and watch, so proposed algorithm is without the problem of considering content change, but for live content, because content changes, if proposed algorithm is not considered time dimension, very possible occur that the content user recommended can't direct viewing (for example, while recommending the Basketball Match in channel direct broadcast band in progress be football match).
The the 3rd: the deviation of reproduction time.
On-demand content is the demand of very not high ageing and promptness often, the user can click and be watched at any time for the content of recommending, but the content of recommending for direct broadcast band may will be play in following certain time period, if longer user of the time interval may lose patience and abandon watching, thereby has reduced recommendation effect.
In addition, in the order video recommendation process, due to the content of every section video be fix and can repeatedly replay, for example, so user or keeper can be directly video content are added to concrete metadata information (title, brief introduction etc.), but in live video, very extensively (for example CCTV5 has comprised basketball to the content that the content of each channel contains, the multinomial sports casts such as swimming) and can change along with the time and (for example play Basketball Match at 1, play football match at 2), the keeper needs the content metadata information of constantly revising video could improve the needed information of recommending like this.
In order to solve the above problem, be necessary to provide a kind of and effectively for the direct broadcast band program, carry out the method for recommending in real time, thereby improving the user, the accuracy of increase recommendation results experiences.
Summary of the invention
In view of the above problems, the purpose of this invention is to provide a kind of live television programming recommend method and system, to solve the problem of programs recommended accuracy.
Live television programming recommend method provided by the invention comprises:
Watch the program menu of the channel that records and crawl according to user's history, obtain the program viewing record of user in program menu;
Program viewing record according to the user in program menu, obtain program metadata;
Watch record and program metadata according to user's history, obtain user's TV programme hobby record;
Obtain the fancy grade of user to each program according to mobile sliding window select programs list and according to described program menu and described user's TV programme hobby record; And,
Choose the neighbor user similar to user interest according to mobile sliding window, to obtain the statistic record viewed with the TV programme of mobile sliding window in the corresponding time period;
According to statistic record and described user, the fancy grade of each program in described program menu is recommended to the TV programme of mobile sliding window in the corresponding time period to the user.
In addition, preferred scheme is, according to user ID, to the user, watch the user channel of this user of behavioral data library inquiry in historical a period of time to watch record to obtain user's history and watch record, the user channel of user in historical a period of time watches record to comprise the channel information of watching, the zero-time of watching and the concluding time of watching; Wherein,
In the process of obtaining user's program viewing record, to user's history, watch the program menu of the channel that records and crawl to be mated, watch user channel record to be converted into the percentage registration that the user watches program.
In addition, preferred scheme is to utilize the web crawlers technology to obtain the programme content of television channel broadcasting to obtain the program menu of the channel crawled from internet site; Wherein, program menu comprises the reproduction time section of program title, program performer, program brief introduction, program and the channel that program is play.
In addition, preferred scheme is, in the process of obtaining user's TV programme hobby record, watch the program duration according to the user in historical a period of time, in conjunction with the metadata of corresponding program menu, count the total duration of the program of watching, and determine the fancy grade of user to program with total duration.
In addition, preferred scheme is, in the process according to mobile sliding window select programs list, choose the program information list of playing or will playing in a preset future time interval with mobile sliding window in the corresponding time period from the current time, wherein, comprise described program metadata in described program information list.
In addition, preferred scheme is, in according to mobile sliding window, choosing the process of the neighbor user similar to user interest, choosing to the preset time in the past interval till the current time with mobile sliding window in the corresponding time period has the customer group of watching record, and, according to the hobby record of customer group and user's hobby record, determine that the most similar N of an interest user is as the neighbor user similar to user interest.
In addition, preferred scheme is, according to statistic record and user, the fancy grade of each program recommends the process of the TV programme of mobile sliding window in the corresponding time period to the user in to program menu,
Statistic record is fallen to sort, to obtain the recommendation order of recommending the TV programme of mobile sliding window in the corresponding time period to the user; And,
When the user surpasses pre-set threshold value to the fancy grade of the TV programme in recommendation order, to user's recommending television.
In addition, preferred scheme is, the user watch behavior to finish at every turn the time, watch in behavior database and add user channel and watch record to the user, to upgrade watching record of user; Wherein, user channel watches record to comprise user ID, the channel information of watching, the zero-time of watching and the concluding time of watching.
On the other hand, the present invention also provides a kind of live television programming commending system, comprising:
Program viewing records acquiring unit, for watch the program menu of the channel that records and crawl according to user's history, obtains the program viewing record of user in program menu;
The program metadata acquiring unit, for the program viewing record at program menu according to the user, obtain program metadata;
Hobby records acquiring unit, for watch record and program metadata according to user's history, obtains user's TV programme hobby record;
Recommendation is according to acquiring unit, for according to mobile sliding window select programs list and according to program menu and user's TV programme hobby record, obtaining the fancy grade of user to each program of program menu; And, choose the neighbor user similar to described user interest according to mobile sliding window, to obtain the statistic record viewed with the TV programme of mobile sliding window in the corresponding time period;
The program commending unit, for recommending mobile sliding window TV programme corresponding time period in to the fancy grade of each program of program menu to described user according to statistic record and described user.
In addition, preferred scheme is, in recommending according to acquiring unit, with mobile sliding window in the corresponding time period, chooses the program information list of playing or will playing in the preset future time interval from the current time, wherein, comprise program metadata in program information list.
From top technical scheme, live television programming recommend method provided by the invention and system can obtain following beneficial effect:
1) by the metadata of web crawlers technology automatic acquisition TV programme, can alleviate the burden that administrative staff and user need the metadata of manual editing's TV programme;
2) metadata of behavioral data and the channel program by watching channel in conjunction with the user, statistics changes into the watch duration of user to program, can obtain more accurately user's point of interest;
3) slide window setting technique by movement, the program list information of playing and will playing of choosing in the certain hour section is mated with user's hobby, can reach to the user and remind in advance the effect of program to avoid the user to miss the program that may like;
4) existing collaborative filtering method is improved, the joining day dimension, when obtaining the similar neighbours of user, only consider the user in the mobile sliding window time period, can make recommendation results can focus on current in progress hot programs, the problem that can avoid recommendation results to watch;
5) utilize threshold values to control the number of times that represents of recommendation results, can improve the accuracy of recommendation results.
In order to realize above-mentioned and relevant purpose, one or more aspects of the present invention comprise the feature that back will describe in detail and particularly point out in the claims.Following explanation and accompanying drawing describe some illustrative aspects of the present invention in detail.Yet, the indication of these aspects be only some modes that can use in the variety of way of principle of the present invention.In addition, the present invention is intended to comprise all these aspects and their equivalent.
The accompanying drawing explanation
By reference to the content below in conjunction with the description of the drawings and claims, and, along with understanding more comprehensively of the present invention, other purpose of the present invention and result will be understood and easy to understand more.In the accompanying drawings:
Fig. 1 is existing TV programme suggesting method flow chart;
Fig. 2 is the live television programming recommend method flow chart according to the embodiment of the present invention;
Fig. 3 is the live television programming recommend method flow chart according to the specific embodiment of the invention;
Fig. 4 is the live television programming commending system block diagram according to the embodiment of the present invention.
In institute's drawings attached, identical label is indicated similar or corresponding feature or function.
Embodiment
In the following description, for purposes of illustration, for the complete understanding to one or more embodiment is provided, many details have been set forth.Yet, clearly, can be in the situation that do not have these details to realize these embodiment yet.Below with reference to accompanying drawing, specific embodiments of the invention are described in detail.
Below with reference to accompanying drawing, specific embodiments of the invention are described in detail.
Fig. 2 is the live television programming recommend method flow chart according to the embodiment of the present invention.
As shown in Figure 2, live television programming recommend method provided by the invention comprises as follows:
S201: watch the program menu of the channel that records and crawl according to user's history, obtain the program viewing record of user in program menu;
S202: the program viewing record according to the user in program menu, obtain program metadata;
S203: watch record and program metadata according to user's history, obtain user's TV programme hobby record;
S204: according to mobile sliding window select programs list and according to program menu and user's TV programme hobby record, obtain the fancy grade of user to each user's program; And, choose the neighbor user similar to user interest according to mobile sliding window, to obtain the statistic record viewed with the TV programme of mobile sliding window in the corresponding time period;
S205: the fancy grade of each program in program menu is recommended to the TV programme of mobile sliding window in the corresponding time period to the user according to statistic record and user.
Fig. 3 is the live television programming recommend method flow chart according to the specific embodiment of the invention.
As shown in Figure 3, the idiographic flow of live television programming recommend method comprises:
S1: start to carry out the timely personalized recommendation of live television programming;
S2: the user turns on television set and watches program;
S3: upgrade watching record of user; Specifically pointing to the user watches interpolation user in behavior database to watch channel record;
S4: user channel is watched record; Need the information of record to comprise user ID, the channel information (as CCTV5) of watching, the zero-time of watching and concluding time (zapping or closing television machine) of watching;
S5: obtain user's history and watch record; Specifically refer to according to user ID, to the user, watch the user channel of this user of behavioral data library inquiry in historical a period of time to watch record, the concluding time that comprises the channel information (as CCTV5) of watching, the zero-time of watching and watch (zapping or closing television machine);
S6: internet information query;
S7: the program menu of the channel crawled; Its concrete grammar is to utilize the web crawlers technology to obtain the programme content that television channel is play from internet site, and wherein programme content comprises the reproduction time section (start and end time) of program title, program performer, program brief introduction, program and the channel (as CCTV5) that program is play;
S8: channel program broadcast information;
S9: obtain user's program viewing record, refer to and utilize user's history to watch the program menu of the channel that records and crawl to be mated, the starting and ending time of mainly utilizing starting and ending time that user channel watches and the program in this channel to play, thus watch step S4 user channel record to be converted into the percentage registration that the user watches program.
Wherein concrete grammar is: the zero-time of watching of establishing user A is T1, and the concluding time is T2, and the time started of program B is T3, and the concluding time is T4, and user A watches the percentage of program B to be:
S10: channel program profile information;
S11: obtain program metadata; Obtain program metadata by step S9 and step S10, metadata comprises the information such as the title, classification, performer, director, host, brief introduction of program video;
S12: obtain user's TV programme hobby record; Specifically refer to according to the user and watch the program duration in historical a period of time, metadata in conjunction with corresponding program, count the total duration of the program of watching, total duration of a certain classification and a certain performer's the information such as total duration, and suppose that duration is directly proportional with duration with user's hobby, thereby be converted into the fancy grade of user to program;
S13: according to movable slide bed select programs list; Specifically refer to mobile sliding window the program information list that in a preset future time interval, (for example 1 hour) is being play or will play from the current time of choosing in the corresponding time period, wherein programme information comprises above-mentioned program metadata (as information such as title, classification, performer, director, host, brief introductions);
S14: obtain the fancy grade of user to each program; Refer to and utilize the user to follow program metadata to be mated to the hobby record of TV programme, count the whole fancy grade of user to this program, wherein whole fancy grade is each element hobby element sum, and falls to sort;
For example: program fancy grade=W1 * performer fancy grade+W2 * classification fancy grade+W3 * director's fancy grade, the weight that W1, W2, W3 are each element;
S15: according to mobile sliding window, choose the neighbor user similar to user interest; Specifically refer to that with mobile sliding window for example choosing, to (1 hour) in the preset time in the past interval till the current time in the corresponding time period has the customer group of watching record, and record and mated according to these the hobby record of customer group and user's hobby, select the most similar N of an interest user as the neighbor user similar to user interest;
S16: obtain the viewed user of TV programme and fall sequence; Refer to utilize neighbor user group that mobile sliding window chooses at mobile sliding window the record watched in the time period the viewed number of program is added up, according to statistic record, fall to sort;
S17: whether the fancy grade that judges TV programme exceeded threshold; Refer to according to the user fancy grade and viewed numerical value of TV programme of program are judged, for avoiding commending system, excessively bother the current video frequency program of watching of user, the result of while only having over threshold values, just to the user, showing recommendation; Therefore, if, execution step S18; If not, execution step S12;
S18: show content recommendation.
In above-mentioned steps S7, by the metadata of web crawlers technology automatic acquisition TV programme, thereby can alleviate the burden that administrative staff and user need manual editing's video metadata.
In above-mentioned steps S12, the metadata of behavioral data and channel program by watching channel in conjunction with the user, statistics changes into the watch duration of user to program, thereby obtains more accurately user's point of interest.
In step S13 and step S14, slide window setting technique by movement, the program list information of playing and will playing of choosing in the certain hour section is mated with user's hobby, thereby reminds in advance the effect of program to avoid the user to miss the program that may like to the user.
In step S15 and step S16, existing collaborative filtering method is improved, the joining day dimension, when obtaining the similar neighbours of user, only consider the user in the mobile sliding window time period, can make recommendation results can focus on current in progress hot programs, the problem that can avoid recommendation results to watch.
Wherein, in above-mentioned steps S14 and step S16, respectively to the fancy grade of program fall sequence and to TV programme viewed statistic record fall sequence, this kind of specific implementation that sortord just manages statistic record.
In other specific implementation processes of the present invention, can be sorted to fancy grade and statistic record, the directly traversal statistic record of also can sorting; Can just sort, also can fall to sort.
In step S17, utilize threshold values to control the number of times that represents of recommendation results, can improve the accuracy of recommendation results.
The idiographic flow that above-mentioned steps is the live television programming recommend method, corresponding with above-mentioned live television programming recommend method, the present invention also provides a kind of live television programming commending system.Fig. 4 is the live television programming commending system block diagram according to the embodiment of the present invention.
As shown in Figure 4, live television programming commending system 400 provided by the invention comprises that program viewing records acquiring unit 410, program metadata acquiring unit 420, likes and record acquiring unit 430, recommendation according to acquiring unit 440 and program commending unit 450.
Wherein, program viewing records acquiring unit 410, for watch the program menu of the channel that records and crawl according to user's history, obtains the program viewing record of user in program menu;
Program metadata acquiring unit 420, for record user that acquiring unit 410 the obtains program viewing record at program menu according to program viewing, obtain program metadata;
Hobby records acquiring unit 430, for the program metadata of watching record according to user's history and obtaining by program metadata acquiring unit 200, obtains user's TV programme hobby record;
Recommendation is according to acquiring unit 440, for according to mobile sliding window select programs list and according to program menu and user's TV programme hobby record, obtaining the fancy grade of user to each program of program menu; And, choose the neighbor user similar to user interest according to mobile sliding window, to obtain the statistic record viewed with the TV programme of mobile sliding window in the corresponding time period;
Wherein, user's history is watched being recorded as according to user ID and is watched record to the user channel of this user in history a period of time of watching behavior database to inquire; The concluding time (zapping or closing television machine) that user channel watches record to comprise the channel information (as CCTV5) of watching, the zero-time of watching and watch.The program menu of the channel crawled is to utilize the web crawlers technology to obtain the programme content that television channel is play from internet site, and wherein program menu comprises the reproduction time section of program title, program performer, program brief introduction, program and the channel that program is play.
At program viewing, record in acquiring unit 410, utilize user's history to watch record cell and the channel program list unit of getting climbed is mated, User is watched the initial concluding time of channel and the initial concluding time that the program in this channel is play, and watches user channel record to be converted into the percentage registration that the user watches program.
In recommending according to acquiring unit 440, choose the program information list of playing or will playing in the preset future time interval from the current time with mobile sliding window in the corresponding time period, wherein, comprise program metadata in program information list.
By above-mentioned execution mode, can find out, live television programming recommend method provided by the invention and system, by web crawlers technology and mobile sliding window setting technique, existing collaborative filtering method is improved, added time dimension, and utilize threshold values to control the number of times that represents of recommendation results, thereby effectively increased the accuracy of the direct broadcast band program being carried out to real-time recommendation results.
Accompanying drawing has described in the mode of example the live television programming recommend method and the system that propose according to the present invention above with reference to.But, it will be appreciated by those skilled in the art that the live television programming recommend method and the system that propose for the invention described above, can also on the basis that does not break away from content of the present invention, make various improvement.Therefore, protection scope of the present invention should be determined by the content of appending claims.
Claims (10)
1. a live television programming recommend method comprises:
Watch the program menu of the channel that records and crawl according to user's history, obtain the program viewing record of user in described program menu;
Program viewing record according to the user in described program menu, obtain program metadata;
Watch record and described program metadata according to described user's history, obtain user's TV programme hobby record;
Obtain the fancy grade of user to each program in described program menu according to mobile sliding window select programs list and according to described program menu and described user's TV programme hobby record; And, choose the neighbor user similar to described user interest according to mobile sliding window, to obtain the statistic record viewed with the TV programme of described mobile sliding window in the corresponding time period;
According to described statistic record and described user, the fancy grade of each program in described program menu is recommended to the TV programme of described mobile sliding window in the corresponding time period to described user.
2. live television programming recommend method as claimed in claim 1, wherein,
According to user ID, to described user, watch the user channel of this user of behavioral data library inquiry in historical a period of time to watch record to obtain described user's history and watch record, the user channel of described user in historical a period of time watches record to comprise the channel information of watching, the zero-time of watching and the concluding time of watching; Wherein,
In the process of obtaining described user's program viewing record, to described user's history, watch the program menu of record and the described channel crawled to be mated, watch described user channel record to be converted into the percentage registration that the user watches program.
3. live television programming recommend method as claimed in claim 1, wherein,
Utilize the web crawlers technology to obtain the programme content of television channel broadcasting to obtain the program menu of the described channel crawled from internet site; Wherein,
Described program menu comprises the reproduction time section of program title, program performer, program brief introduction, program and the channel that program is play.
4. live television programming recommend method as claimed in claim 1, wherein,
In the process of obtaining described user's TV programme hobby record, watch the program duration according to the user in historical a period of time, in conjunction with the metadata of corresponding program menu, count the total duration of the program of watching, and determine the fancy grade of user to program with described total duration.
5. live television programming recommend method as claimed in claim 1, wherein,
In the process according to described mobile sliding window select programs list, choose the program information list of playing or will playing in the preset future time interval from the current time with described mobile sliding window in the corresponding time period, wherein, comprise described program metadata in described program information list.
6. live television programming recommend method as claimed in claim 1, wherein,
According to mobile sliding window, choosing the process of the neighbor user similar to described user interest, choosing to the preset time in the past interval till the current time with described mobile sliding window in the corresponding time period has the customer group of watching record, and, according to the hobby record of described customer group and described user's hobby record, determine that the most similar N of an interest user is as the neighbor user similar to described user interest.
7. live television programming recommend method as claimed in claim 1, wherein,
According to described statistic record and described user, the fancy grade of each program recommends the process of the TV programme of described mobile sliding window in the corresponding time period to described user in to described program menu,
Described statistic record is fallen to sort, to obtain the recommendation order of recommending the TV programme of described mobile sliding window in the corresponding time period to described user; And,
When described user surpasses pre-set threshold value to the fancy grade of the TV programme in described recommendation order, to described user, recommend described TV programme.
8. live television programming recommend method as claimed in claim 1, also comprise,
The user watch behavior to finish at every turn the time, watch in behavior database and add user channel and watch record to the user, to upgrade watching record of user; Wherein,
Described user channel watches record to comprise user ID, the channel information of watching, the zero-time of watching and the concluding time of watching.
9. a live television programming commending system comprises:
Program viewing records acquiring unit, for watch the program menu of the channel that records and crawl according to user's history, obtains the program viewing record of user in described program menu;
The program metadata acquiring unit, for the program viewing record at described program menu according to the user, obtain program metadata;
Hobby records acquiring unit, for watch record and described program metadata according to described user's history, obtains user's TV programme hobby record;
Recommendation is according to acquiring unit, for according to mobile sliding window select programs list and according to described program menu and described user's TV programme hobby record, obtaining the fancy grade of user to described each program of program menu; And, choose the neighbor user similar to described user interest according to mobile sliding window, to obtain the statistic record viewed with the TV programme of described mobile sliding window in the corresponding time period;
The program commending unit, for recommending described mobile sliding window TV programme corresponding time period in to the fancy grade of described each program of program menu to described user according to described statistic record and described user.
10. live television programming commending system as claimed in claim 9, wherein,
Described recommendation according to acquiring unit in, choose the program information list of playing or will playing in the preset future time interval from the current time with described mobile sliding window in the corresponding time period, wherein, comprise described program metadata in described program information list.
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