CN104219576A - Smart television based play program recommendation method - Google Patents
Smart television based play program recommendation method Download PDFInfo
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- CN104219576A CN104219576A CN201410405432.0A CN201410405432A CN104219576A CN 104219576 A CN104219576 A CN 104219576A CN 201410405432 A CN201410405432 A CN 201410405432A CN 104219576 A CN104219576 A CN 104219576A
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Abstract
The invention provides a smart television based play program recommendation method. The method includes: performing data acquisition on a television program list of a television terminal, generating a television program recommendation list according to audience rating and storing the television program recommendation list in a television program information database; recommending the grogram recommendation list to users. Personalized real-time television program recommendations can be provided for the users according to watching behaviors of the terminal or the users, convenience in watching is brought to the users, time for channel selection is reduced greatly, and user experience is improved. Besides, the method is more suitable for preference of television program fans and better meets representative demands of the television program fans by adopting a massive television terminal popularity statistics mode.
Description
Technical field
The present invention relates to a kind of broadcast program recommend method based on intelligent television, particularly relate to a kind of broadcast program recommend method be applicable to based on intelligent television.
Background technology
At present, television set has been marched toward intellectualization times.And TV programme is all input to television by digital TV set-top box, but only can check the TV guide table of each TV station on the set-top box, channel is many and assorted.User searches the switching of the TV programme oneself liked always channel one by one, extremely bothersome time-consuming, cannot the interested TV of effective location oneself, therefore, the list of user's interested personalized TV programs real-time recommendation is provided in intelligent television end, effectively can reduce screening and save object time, greatly promote Consumer's Experience.Do not worry because miss a certain collection of TV play, or a certain section of film and unfortunately.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of broadcast program recommend method based on intelligent television.
The technical solution used in the present invention is as follows: a kind of broadcast program recommend method based on intelligent television, and its method is: carry out data acquisition to the TV program list of television terminal and generate television program recommendations list stored in TV program information database according to audience ratings; Described program recommendation list is recommended user.
As preferably, described method also comprises: the TV program information database viewed according to user obtains the TV programme of user preferences, and for this TV programme for this user recommends.
As preferably, described method also comprises: the TV program information database viewed according to user obtains the hobby television program type of user, and recommends to play the higher TV program list of temperature in the type for this user.
As preferably, described method also comprises: from TV program information database, extract program play times according to the rendition list, the TV programme also do not play is put into the personalized recommendation list returned.
As preferably, the TV programme also do not play within 24 hours is put into the personalized recommendation list returned.
As preferably, described method also comprises, and the TV programme play also is put into the personalized recommendation list returned.
As preferably, described method also comprises, and the time period of recording user viewing television habits, carries out the rendition list recommendation according to the user habit time period.
As preferably, the basis of audience ratings generates television program recommendations list according to television program type.
As preferably, carry out recommending and reminding according to the concrete TV programme of Subscriber Locked.
Compared with prior art, the invention has the beneficial effects as follows: form television program recommendations list according to TV audience rating, facilitate user to select, the interested program of effective location, promote the experience degree of user.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with embodiment, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
Arbitrary feature disclosed in this specification (comprising any accessory claim and summary), unless specifically stated otherwise, all can be replaced by other equivalences or the alternative features with similar object.That is, unless specifically stated otherwise, each feature is an example in a series of equivalence or similar characteristics.
As shown in Table 1, data acquisition carried out to the TV program list of television terminal and generate television program recommendations list stored in TV program information database according to audience ratings; Described program recommendation list is recommended user.Meanwhile, real-time update program recommendation list, to ensure accuracy and the real-time of program commending.
Form television program recommendations list according to TV audience rating, facilitate user to select, the interested program of effective location, promote the experience degree of user.
In this specific embodiment, be generate television program recommendations list according to television program type on the basis of audience ratings.
Table one
Further, as shown in Table 2, obtain the hobby program category of user according to the viewed program information database of user, and recommend in the type, to play the higher the rendition list of temperature for this user.
Table two
Further, as shown in Table 3, gather the broadcast information in the viewed program information database of a certain user, obtain the hobby program of user, and for this program for this user recommends.
Table three
Further, from TV program information database, extract program play times according to the rendition list, the TV programme also do not play is put into the personalized recommendation list returned, select for user.
Further, the TV programme also do not play within 24 hours is put into the personalized recommendation list returned, generally, as long as the program play list presented within 24 hours can meet the demand of user, waste resource that simultaneously again can not be too much.
Further, the TV programme play also is put into the personalized recommendation list returned, show the time point that this TV programme starts to play, in order to avoid user misses that section do not seen last time simultaneously.
Further, the time period of recording user viewing television habits, the rendition list recommendation is carried out according to the user habit time period.Viewing time section as user habit is that late 6 of the week arrives evening 10 and whole day on Sunday Saturday, then can carry out program commending according to this viewing time section.
Further, carry out recommending and reminding according to the concrete TV programme of Subscriber Locked.User can directly search and want the concrete program watched to obtain reproduction time and list of locations, and carries out setting reminding service according to reproduction time and list of locations.As: user directly searches some tomorrow morning 4 that the reproduction time of world cup and list of locations have CCTV-5 tomorrow morning 4 and Jiangsu satellite TV, and tonight 9 Anhui STV replay, then user can lock wherein need to watch reminding service is set.When turning on TV and watching, TV will show on screen to be reminded.Meanwhile, user can be arranged to be needed to know the playlist of this concrete program within certain time period, as all playlists of world cup in one week, and arranges reminding service.
According to the viewing behavior of terminal or user, can be that user provides personalized real time TV to recommend, facilitate user to watch, considerably reduce the channel selection time, improve Consumer's Experience.Further, adopt the mode of the statistics popularity of the television of magnanimity, be more suitable for the preference of TV programme hobby person, more can represent the demand of TV programme hobby person.
Claims (9)
1. based on a broadcast program recommend method for intelligent television, its method is: carry out data acquisition to the TV program list of television terminal and generate television program recommendations list stored in TV program information database according to audience ratings; Described program recommendation list is recommended user.
2. program commending method according to claim 1, described method also comprises: the TV program information database viewed according to user obtains the TV programme of user preferences, and for this TV programme program for this user recommends.
3. program commending method according to claim 1, described method also comprises: the hobby program category obtaining user according to the viewed TV program information database of user, and recommends to play the higher TV program list of temperature in the type for this user.
4. program commending method according to claim 1, described method also comprises: from TV program information database, extract program play times according to TV program list, the TV programme also do not play is put into the personalized recommendation list returned.
5. program commending method according to claim 4, puts into the TV programme also do not play within 24 hours the personalized recommendation list returned.
6. the program commending method according to claim 4 or 5, described method also comprises, and the TV programme play also is put into the personalized recommendation list returned.
7. program commending method according to claim 1, described method also comprises, and the time period of recording user viewing television habits, carries out the rendition list recommendation according to the user habit time period.
8. program commending method according to claim 1, the basis of audience ratings generates television program recommendations list according to television program type.
9. program commending method according to claim 1, described method also comprises: carry out recommending and reminding according to the concrete TV programme of Subscriber Locked.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201410405432.0A CN104219576A (en) | 2014-08-18 | 2014-08-18 | Smart television based play program recommendation method |
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| CN201410405432.0A CN104219576A (en) | 2014-08-18 | 2014-08-18 | Smart television based play program recommendation method |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104581399A (en) * | 2015-01-30 | 2015-04-29 | 无锡天脉聚源传媒科技有限公司 | Hot word searching method and system in television box |
| CN104639984A (en) * | 2015-03-12 | 2015-05-20 | 北京京东方多媒体科技有限公司 | Network set top box and working method thereof |
| CN104853229A (en) * | 2015-05-11 | 2015-08-19 | 天脉聚源(北京)传媒科技有限公司 | Program pushing method and device thereof |
| CN104918117A (en) * | 2015-03-24 | 2015-09-16 | 四川长虹电器股份有限公司 | Intelligent television advertisement and user label recommending method |
| CN105245958A (en) * | 2015-11-11 | 2016-01-13 | Tcl集团股份有限公司 | Live television program recommendation method and device |
| CN105592326A (en) * | 2015-12-18 | 2016-05-18 | 小米科技有限责任公司 | Method and device for recommending programs |
| CN105791912A (en) * | 2016-04-20 | 2016-07-20 | 珠海迈科智能科技股份有限公司 | Cloud-based data processing method, system and set top box |
| CN105959740A (en) * | 2016-05-17 | 2016-09-21 | 康佳集团股份有限公司 | Television program navigation method and system based on user behavior analysis |
| CN108540857A (en) * | 2018-04-13 | 2018-09-14 | 中广热点云科技有限公司 | TV audience rating and user preference control method based on handset remote controller and system |
-
2014
- 2014-08-18 CN CN201410405432.0A patent/CN104219576A/en active Pending
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104581399A (en) * | 2015-01-30 | 2015-04-29 | 无锡天脉聚源传媒科技有限公司 | Hot word searching method and system in television box |
| CN104639984A (en) * | 2015-03-12 | 2015-05-20 | 北京京东方多媒体科技有限公司 | Network set top box and working method thereof |
| US9930412B2 (en) | 2015-03-12 | 2018-03-27 | Boe Technology Group Co., Ltd. | Network set-top box and its operating method |
| CN104918117A (en) * | 2015-03-24 | 2015-09-16 | 四川长虹电器股份有限公司 | Intelligent television advertisement and user label recommending method |
| CN104853229A (en) * | 2015-05-11 | 2015-08-19 | 天脉聚源(北京)传媒科技有限公司 | Program pushing method and device thereof |
| CN105245958A (en) * | 2015-11-11 | 2016-01-13 | Tcl集团股份有限公司 | Live television program recommendation method and device |
| CN105245958B (en) * | 2015-11-11 | 2020-03-24 | Tcl集团股份有限公司 | Live television program recommendation method and device |
| CN105592326A (en) * | 2015-12-18 | 2016-05-18 | 小米科技有限责任公司 | Method and device for recommending programs |
| CN105791912A (en) * | 2016-04-20 | 2016-07-20 | 珠海迈科智能科技股份有限公司 | Cloud-based data processing method, system and set top box |
| CN105959740A (en) * | 2016-05-17 | 2016-09-21 | 康佳集团股份有限公司 | Television program navigation method and system based on user behavior analysis |
| CN108540857A (en) * | 2018-04-13 | 2018-09-14 | 中广热点云科技有限公司 | TV audience rating and user preference control method based on handset remote controller and system |
| CN108540857B (en) * | 2018-04-13 | 2021-05-04 | 中广热点云科技有限公司 | Television audience rating and user preference control method and system based on mobile phone remote controller |
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Application publication date: 20141217 |