CN104079997A - Recommending system for digital television personalized programs and method thereof - Google Patents

Recommending system for digital television personalized programs and method thereof Download PDF

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Publication number
CN104079997A
CN104079997A CN201410327694.XA CN201410327694A CN104079997A CN 104079997 A CN104079997 A CN 104079997A CN 201410327694 A CN201410327694 A CN 201410327694A CN 104079997 A CN104079997 A CN 104079997A
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China
Prior art keywords
program
user
digital television
record
reproduction time
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CN201410327694.XA
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Chinese (zh)
Inventor
薛凯军
周凡
陈小燕
姜涛
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Sun Yat Sen University
Institute of Dongguan of Sun Yat Sen University
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Sun Yat Sen University
Institute of Dongguan of Sun Yat Sen University
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Priority to CN201410327694.XA priority Critical patent/CN104079997A/en
Publication of CN104079997A publication Critical patent/CN104079997A/en
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Abstract

The embodiment of the invention discloses a recommending system for digital television personalized programs and a method of the recommending system. The system comprises a program information recording module, a program information analyzing module and a program recommending module. The program information recording module is used for recording data information of the programs watched by a user; the program information analyzing module is used for analyzing user watching records stored in the program information recording module and excavating out program content preferred by the user; the program recommending module is used for forecasting time for playing the programs next time according to the program content which is preferred by the user and excavated by the program information analyzing module, and recommending programs of the same type to the user. The programs and channels preferred by the user are excavated, and the similar programs are recommended according to user preference, so that the technical problems that at present potential personalized requirements of the digital television terminal user can not be truly excavated, and an existing digital television interactive platform can not provide personalized digital television service for the digital television terminal user are solved.

Description

A kind of commending system of Digital Television personal program and method thereof
Technical field
The present invention relates to digital television techniques field, especially relate to a kind of commending system and method thereof of Digital Television personal program.
Background technology
Along with the development of multimedia broadcasting and network technology, IPTV, interactive digital TV etc. has entered huge numbers of families, has changed people's life style, for digital cable customers has brought brand-new consumption experience.
When increasing user enjoys Digital Television diversified service, also show gradually many potential demands.People form exclusive TV behavior and the custom seen separately gradually, this will make digital television terminal user no longer be satisfied with that certain is fixing, programme content represents widely, what more hope was seen is the TV programme of certain type of oneself paying close attention to for a long time, because each user's real needs cannot be clear and definite by this form widely, and digital-TV operator can not be also each customization questionnaire.The promoter of digital-TV operator and interaction platform need to pass through clearly this demand of certain means, to meet the needs of this recessiveness of users, thereby obtains larger interests.
In order to allow user can access the recommendation of some programs or service when enjoying Digital Television diversified service, existing digital television interaction platform represents for terminal use provides unified program or service content by interactive program guide, make user when receiving extensive program service, can access the recommendation of some programme informations, allow user can obtain some concern information.
The interactive program guide of this digital television interaction platform just represents for terminal use provides unified program or service content, cannot provide differentiated service targetedly to user.Digital television interaction platform has just recorded the service condition of digital television terminal user, carry out again some simple integrations cumulative, the consumption, the use record that these are not had to potential value are analyzed fully and excavate, and so just cannot provide proper television program recommendations service for user.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, the invention provides a kind of commending system and method thereof of Digital Television personal program, solve and cannot really excavate the technical problem of the potential individual sexual demand of digital television terminal user at present, also solved current digital television interaction platform the technical problem of personalized digital television service cannot be provided for digital television terminal user.
In order to address the above problem, the present invention proposes a kind of commending system of Digital Television personal program, described system comprises:
Programme information logging modle, watches the data message of program for recording user;
Programme information analysis module, the watching record of user of storing for analyzing described programme information logging modle, excavates the programme content of user preferences;
Program commending module, the next period reproduction time that is user's trailer for the programme content of the user preferences excavated according to described programme information analysis module, and recommend program of the same type for user.
Preferably, described programme information logging modle comprises:
Timing unit, watches the initial time of a certain program and watches duration for recording user;
Program data resolution unit, for analyzing the data flow of digital television program, extract television channel and the programme information of watching;
Memory cell, for storing user, watch program initial time, channel, program, watch duration.
Preferably, described programme information analysis module also, for for each record, is analyzed its programme information, identifies the affiliated type of program and programm name; And analyze the duration of watching in this record, as the weight of this program, store type, title, channel, initial time and the weight of this program, and according to weight order from big to small, statistics is sorted and obtains the programme information that user likes.
Preferably, described program commending module, also for reading successively a statistics, according to the type of program and title, is obtained this program next period reproduction time; According to the type of program, obtain similar program, and the next period reproduction time of this program; Title and the reproduction time of the next period reproduction time of program and similar program are recorded; Record all program reproduction times and the title of similar program, and by this information recommendation to user.
Correspondingly, the embodiment of the present invention also discloses a kind of recommend method of Digital Television personal program, and described method comprises:
Recording user is watched the data message of program;
Analysis user watches record to excavate the programme content of user preferences;
According to the programme content of the user preferences of excavating, be the next period reproduction time of user's trailer, and recommend program of the same type for user.
Preferably, described recording user watches the step of the data message of program to comprise:
Select some channels to watch program;
Record current time, statistics is watched duration;
Reading data flow, and therefrom extract programm name, type and content;
Change after channel, duration is watched in judgement, if viewing time is less than 30 seconds, selects some channels to watch program;
Store the current record of watching, comprise initial time, programm name, programme information, watch duration.
Preferably, the step that described analysis user watches record to excavate the programme content of user preferences comprises:
Read a watching record of user;
From watch record, identify type and the title of program;
Duration is watched in analysis, as the weight of this program;
If this program is stored, upgrade the weight of this program, if not, store the statistics of this program, comprising: program category, title, channel, initial time, weight;
Check whether watching record of user is disposed, if untreated complete, read a watching record of user; If be disposed, for user recommends program of the same type.
Preferably, the next period reproduction time that the programme content of the user preferences that described basis is excavated is user's trailer, and comprise for user recommends the step of program of the same type:
The data that produce, by the descending of weight size, are selected to the first five analysis data;
Analyze data for one that reads generation;
Find out the next period reproduction time of this program;
According to the type of program and channel, find the reproduction time of similar program and similar program;
Storage recommendation information, comprising: the next period reproduction time of this program and title and the reproduction time of similar program;
Judge whether all analysis data are handled, if do not had, analyze data for one that reads generation; Otherwise, the programs recommended information of storage is presented in Digital Television, for user, watch.
In embodiments of the present invention, statistics television terminal user watches the data message of program, excavate program and the channel of user preferences, and recommend some similar programs according to user's preference, solved and cannot really excavate the technical problem of the potential individual sexual demand of digital television terminal user at present, also solved current digital television interaction platform the technical problem of personalized digital television service cannot be provided for digital television terminal user.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skills, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 is that the structure of commending system of the Digital Television personal program of the embodiment of the present invention forms schematic diagram;
Fig. 2 is the schematic flow sheet of recommend method of the Digital Television personal program of the embodiment of the present invention;
Fig. 3 records schematic flow sheet in the recommend method of Digital Television personal program of the embodiment of the present invention;
Fig. 4 is analysis process schematic diagram in the recommend method of Digital Television personal program of the embodiment of the present invention;
Fig. 5 is recommended flowsheet schematic diagram in the recommend method of Digital Television personal program of the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, rather than whole embodiment.Embodiment based in the present invention, those of ordinary skills, not making the every other embodiment obtaining under creative work prerequisite, belong to the scope of protection of the invention.
Fig. 1 is that the structure of commending system of the Digital Television personal program of the embodiment of the present invention forms schematic diagram, and as shown in Figure 1, this system comprises:
Programme information logging modle 1, watches the data message of program for recording user;
Programme information analysis module 2, the watching record of user of storing for analyzing programme information logging modle 1, excavates the programme content of user preferences;
Program commending module 3, the next period reproduction time that is user's trailer for the programme content of the user preferences excavated according to programme information analysis module 2, and recommend program of the same type for user.
In concrete enforcement, programme information logging modle 1 comprises: timing unit, and for recording user, watch the initial time of a certain program and watch duration; Program data resolution unit, for analyzing the data flow of digital television program, extract television channel and the programme information of watching; Memory cell, for storing user, watch program initial time, channel, program, watch duration.As shown in the table:
Initial time Channel Programme information Watch duration
In watching Digital Television process, user can change channel according to the hobby of oneself, to select own most likely wanted to see channel and program.When user is transferred to a certain channel, timing unit is recorded current time, and start statistics and watch duration, simultaneously, program data resolution unit in programme information logging modle extracts television channel and the programme information that user watches from data flow, when user changes to succeeding channel, the record that logging modle has just been watched user, comprises initial time, channel, program, watches duration to store.
Owing to there is this situation, i.e. a plurality of channels of quick-replaceable in user's short time, the time of watching in each channel is just very short, and such to watch record be garbage, will not store.Therefore when storage watching record of user, the duration that judgement user watches, if be less than 30s, abandons this record.
Programme information analysis module 2 also, for for each record, is analyzed its programme information, identifies the affiliated type of program and programm name; And analyze the duration of watching in this record, as the weight of this program, store type, title, channel, initial time and the weight of this program, and according to weight order from big to small, statistics is sorted and obtains the programme information that user likes.
Add up all program viewing records, can obtain data as shown in the table:
Program category Programm name Channel Initial time Weight
According to weight order from big to small, statistics is sorted, what rank was forward is exactly the programme information that user likes.Because a user is at the different program of different time preferences, or TV viewer is different, and so once the result of statistics is difficult to represent that different user is in the program preferences of different time sections.In order to guarantee that statistics accurately reflects user's preference, often at regular intervals, for example a week, the record of watching to user within this time interval carries out a statistical analysis to programme information analysis module.
Program commending module 3, also for reading successively a statistics, according to the type of program and title, is obtained this program next period reproduction time; According to the type of program, obtain similar program, and the next period reproduction time of this program; Title and the reproduction time of the next period reproduction time of program and similar program are recorded; Record all program reproduction times and the title of similar program, and by this information recommendation to user.
In addition, the embodiment of the present invention also provides a kind of recommend method of Digital Television personal program, and as shown in Figure 2, the method comprises:
S201, recording user is watched the data message of program;
S202, analysis user watches record to excavate the programme content of user preferences;
S203, is the next period reproduction time of user's trailer according to the programme content of the user preferences of excavating, and recommends program of the same type for user.
Particularly, as shown in Figure 3, S201 further comprises:
Select some channels to watch program;
Record current time, statistics is watched duration;
Reading data flow, and therefrom extract programm name, type and content;
Change after channel, duration is watched in judgement, if viewing time is less than 30 seconds, selects some channels to watch program;
Store the current record of watching, comprise initial time, programm name, programme information, watch duration.
As shown in Figure 4, S202 further comprises:
Read a watching record of user;
From watch record, identify type and the title of program;
Duration is watched in analysis, as the weight of this program;
If this program is stored, upgrade the weight of this program, if not, store the statistics of this program, comprising: program category, title, channel, initial time, weight;
Check whether watching record of user is disposed, if untreated complete, read a watching record of user; If be disposed, for user recommends program of the same type.
As shown in Figure 5, S203 further comprises:
The data that produce, by the descending of weight size, are selected to the first five analysis data;
Analyze data for one that reads generation;
Find out the next period reproduction time of this program;
According to the type of program and channel, find the reproduction time of similar program and similar program;
Storage recommendation information, comprising: the next period reproduction time of this program and title and the reproduction time of similar program;
Judge whether all analysis data are handled, if do not had, analyze data for one that reads generation; Otherwise, the programs recommended information of storage is presented in Digital Television, for user, watch.
In embodiments of the present invention, statistics television terminal user watches the data message of program, excavate program and the channel of user preferences, and recommend some similar programs according to user's preference, solved and cannot really excavate the technical problem of the potential individual sexual demand of digital television terminal user at present, also solved current digital television interaction platform the technical problem of personalized digital television service cannot be provided for digital television terminal user.
One of ordinary skill in the art will appreciate that all or part of step in the whole bag of tricks of above-described embodiment is to come the hardware that instruction is relevant to complete by program, this program can be stored in a computer-readable recording medium, storage medium can comprise: read-only memory (ROM, Read Only Memory), random access memory (RAM, Random Access Memory), disk or CD etc.
In addition, commending system and the method thereof of the Digital Television the personal program above embodiment of the present invention being provided are described in detail, applied specific case herein principle of the present invention and execution mode are set forth, the explanation of above embodiment is just for helping to understand method of the present invention and core concept thereof; , for one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention meanwhile.

Claims (8)

1. a commending system for Digital Television personal program, is characterized in that, described system comprises:
Programme information logging modle, watches the data message of program for recording user;
Programme information analysis module, the watching record of user of storing for analyzing described programme information logging modle, excavates the programme content of user preferences;
Program commending module, the next period reproduction time that is user's trailer for the programme content of the user preferences excavated according to described programme information analysis module, and recommend program of the same type for user.
2. the commending system of Digital Television personal program as claimed in claim 1, is characterized in that, described programme information logging modle comprises:
Timing unit, watches the initial time of a certain program and watches duration for recording user;
Program data resolution unit, for analyzing the data flow of digital television program, extract television channel and the programme information of watching;
Memory cell, for storing user, watch program initial time, channel, program, watch duration.
3. the commending system of Digital Television personal program as claimed in claim 1, is characterized in that, described programme information analysis module also, for for each record, is analyzed its programme information, identifies the affiliated type of program and programm name; And analyze the duration of watching in this record, as the weight of this program, store type, title, channel, initial time and the weight of this program, and according to weight order from big to small, statistics is sorted and obtains the programme information that user likes.
4. the commending system of Digital Television personal program as claimed in claim 1, is characterized in that, described program commending module, also for reading successively a statistics, according to the type of program and title, is obtained this program next period reproduction time; According to the type of program, obtain similar program, and the next period reproduction time of this program; Title and the reproduction time of the next period reproduction time of program and similar program are recorded; Record all program reproduction times and the title of similar program, and by this information recommendation to user.
5. a recommend method for Digital Television personal program, is characterized in that, described method comprises:
Recording user is watched the data message of program;
Analysis user watches record to excavate the programme content of user preferences;
According to the programme content of the user preferences of excavating, be the next period reproduction time of user's trailer, and recommend program of the same type for user.
6. the recommend method of Digital Television personal program as claimed in claim 5, is characterized in that, described recording user watches the step of the data message of program to comprise:
Select some channels to watch program;
Record current time, statistics is watched duration;
Reading data flow, and therefrom extract programm name, type and content;
Change after channel, duration is watched in judgement, if viewing time is less than 30 seconds, selects some channels to watch program;
Store the current record of watching, comprise initial time, programm name, programme information, watch duration.
7. the recommend method of Digital Television personal program as claimed in claim 5, is characterized in that, the step that described analysis user watches record to excavate the programme content of user preferences comprises:
Read a watching record of user;
From watch record, identify type and the title of program;
Duration is watched in analysis, as the weight of this program;
If this program is stored, upgrade the weight of this program, if not, store the statistics of this program, comprising: program category, title, channel, initial time, weight;
Check whether watching record of user is disposed, if untreated complete, read a watching record of user; If be disposed, for user recommends program of the same type.
8. the recommend method of Digital Television personal program as claimed in claim 5, it is characterized in that, the next period reproduction time that the programme content of the user preferences that described basis is excavated is user's trailer, and comprise for user recommends the step of program of the same type:
The data that produce, by the descending of weight size, are selected to the first five analysis data;
Analyze data for one that reads generation;
Find out the next period reproduction time of this program;
According to the type of program and channel, find the reproduction time of similar program and similar program;
Storage recommendation information, comprising: the next period reproduction time of this program and title and the reproduction time of similar program;
Judge whether all analysis data are handled, if do not had, analyze data for one that reads generation; Otherwise, the programs recommended information of storage is presented in Digital Television, for user, watch.
CN201410327694.XA 2014-07-10 2014-07-10 Recommending system for digital television personalized programs and method thereof Pending CN104079997A (en)

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Cited By (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104462339A (en) * 2014-12-03 2015-03-25 北京国双科技有限公司 Method and device for pushing multi-medium files
CN104918070A (en) * 2015-06-02 2015-09-16 四川九天揽月文化传媒有限公司 Smart television-based video program push system and push method
CN105187916A (en) * 2015-09-07 2015-12-23 成都杰迈科技有限责任公司 Set-top box program ranking method
CN105208409A (en) * 2015-08-28 2015-12-30 北京奇艺世纪科技有限公司 Information recommendation method and device
CN106412638A (en) * 2016-09-26 2017-02-15 天脉聚源(北京)科技有限公司 Method and apparatus for determining user category
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
CN106792171A (en) * 2016-12-14 2017-05-31 宁夏灵智科技有限公司 Personalized recommendation method and system in intelligent video app
CN106921889A (en) * 2015-12-24 2017-07-04 小米科技有限责任公司 Program plays based reminding method, device and terminal
CN106934034A (en) * 2017-03-14 2017-07-07 杭州火剧科技有限公司 The method and server of analysis films and television programs distribution feature
CN107360462A (en) * 2017-07-04 2017-11-17 广州视源电子科技股份有限公司 Channel control method and device for DTV
CN107430750A (en) * 2015-06-18 2017-12-01 谷歌公司 The personalization of content issue and context notice
CN107438184A (en) * 2017-07-29 2017-12-05 安徽博威康信息技术有限公司 A kind of Intelligent TV program push system for counting viewing record
CN107484020A (en) * 2017-07-29 2017-12-15 安徽博威康信息技术有限公司 A kind of TV programme method for pushing based on viewing record and viewing duration
CN109660868A (en) * 2017-10-12 2019-04-19 中国电信股份有限公司 Channel sequencing, switching and display methods, set-top box and IPTV system
CN110996144A (en) * 2019-12-19 2020-04-10 哈尔滨工业大学 Television user viewing preference analysis method
CN111416995A (en) * 2020-03-25 2020-07-14 深圳创维-Rgb电子有限公司 Content pushing method and system based on scene recognition and intelligent terminal
CN113596524A (en) * 2021-07-27 2021-11-02 广东曜城科技园管理有限公司 Intelligent pushing method and system for television programs
CN113923523A (en) * 2021-10-11 2022-01-11 深圳创维-Rgb电子有限公司 Video pushing method, device, equipment and storage medium
CN114286188A (en) * 2021-12-15 2022-04-05 陕西广电融媒体集团有限公司 Interactive television system based on digital television broadcasting network

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20070010351A (en) * 2005-07-18 2007-01-24 엘지전자 주식회사 Method for concluding a program of preference
CN101378495A (en) * 2008-09-16 2009-03-04 深圳华为通信技术有限公司 Method, device and system for programme renewal
CN102291618A (en) * 2010-06-18 2011-12-21 昆达电脑科技(昆山)有限公司 Preference program recommending device and method
CN102421025A (en) * 2011-11-22 2012-04-18 康佳集团股份有限公司 Television program guide method and system based on program content attributes
CN102630052A (en) * 2012-04-16 2012-08-08 上海交通大学 Real time streaming-oriented television program recommendation system
CN103051960A (en) * 2011-10-13 2013-04-17 纬创资通股份有限公司 Television program recommendation system and method thereof
WO2013085524A1 (en) * 2011-12-08 2013-06-13 Intel Corporation Personalized passive content delivery
CN103501449A (en) * 2013-10-08 2014-01-08 十分(北京)信息科技有限公司 Method and device for recommending video source associated with television program
CN103546773A (en) * 2013-08-15 2014-01-29 Tcl集团股份有限公司 Television program recommendation method and system
CN103647989A (en) * 2013-11-15 2014-03-19 乐视致新电子科技(天津)有限公司 Program recommending method and apparatus for smart television

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20070010351A (en) * 2005-07-18 2007-01-24 엘지전자 주식회사 Method for concluding a program of preference
CN101378495A (en) * 2008-09-16 2009-03-04 深圳华为通信技术有限公司 Method, device and system for programme renewal
CN102291618A (en) * 2010-06-18 2011-12-21 昆达电脑科技(昆山)有限公司 Preference program recommending device and method
CN103051960A (en) * 2011-10-13 2013-04-17 纬创资通股份有限公司 Television program recommendation system and method thereof
CN102421025A (en) * 2011-11-22 2012-04-18 康佳集团股份有限公司 Television program guide method and system based on program content attributes
WO2013085524A1 (en) * 2011-12-08 2013-06-13 Intel Corporation Personalized passive content delivery
CN102630052A (en) * 2012-04-16 2012-08-08 上海交通大学 Real time streaming-oriented television program recommendation system
CN103546773A (en) * 2013-08-15 2014-01-29 Tcl集团股份有限公司 Television program recommendation method and system
CN103501449A (en) * 2013-10-08 2014-01-08 十分(北京)信息科技有限公司 Method and device for recommending video source associated with television program
CN103647989A (en) * 2013-11-15 2014-03-19 乐视致新电子科技(天津)有限公司 Program recommending method and apparatus for smart television

Cited By (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104462339A (en) * 2014-12-03 2015-03-25 北京国双科技有限公司 Method and device for pushing multi-medium files
CN104462339B (en) * 2014-12-03 2018-08-07 北京国双科技有限公司 The method for pushing and device of multimedia file
CN104918070A (en) * 2015-06-02 2015-09-16 四川九天揽月文化传媒有限公司 Smart television-based video program push system and push method
CN107430750A (en) * 2015-06-18 2017-12-01 谷歌公司 The personalization of content issue and context notice
CN105208409B (en) * 2015-08-28 2019-05-31 北京奇艺世纪科技有限公司 A kind of information recommendation method and device
CN105208409A (en) * 2015-08-28 2015-12-30 北京奇艺世纪科技有限公司 Information recommendation method and device
CN105187916A (en) * 2015-09-07 2015-12-23 成都杰迈科技有限责任公司 Set-top box program ranking method
CN106921889A (en) * 2015-12-24 2017-07-04 小米科技有限责任公司 Program plays based reminding method, device and terminal
CN106412638A (en) * 2016-09-26 2017-02-15 天脉聚源(北京)科技有限公司 Method and apparatus for determining user category
CN106792171A (en) * 2016-12-14 2017-05-31 宁夏灵智科技有限公司 Personalized recommendation method and system in intelligent video app
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
CN106934034A (en) * 2017-03-14 2017-07-07 杭州火剧科技有限公司 The method and server of analysis films and television programs distribution feature
CN106934034B (en) * 2017-03-14 2019-11-12 杭州火剧科技有限公司 Analyze the method and server of films and television programs distribution feature
CN107360462A (en) * 2017-07-04 2017-11-17 广州视源电子科技股份有限公司 Channel control method and device for DTV
CN107484020A (en) * 2017-07-29 2017-12-15 安徽博威康信息技术有限公司 A kind of TV programme method for pushing based on viewing record and viewing duration
CN107438184A (en) * 2017-07-29 2017-12-05 安徽博威康信息技术有限公司 A kind of Intelligent TV program push system for counting viewing record
CN109660868A (en) * 2017-10-12 2019-04-19 中国电信股份有限公司 Channel sequencing, switching and display methods, set-top box and IPTV system
CN110996144A (en) * 2019-12-19 2020-04-10 哈尔滨工业大学 Television user viewing preference analysis method
CN111416995A (en) * 2020-03-25 2020-07-14 深圳创维-Rgb电子有限公司 Content pushing method and system based on scene recognition and intelligent terminal
CN113596524A (en) * 2021-07-27 2021-11-02 广东曜城科技园管理有限公司 Intelligent pushing method and system for television programs
CN113923523A (en) * 2021-10-11 2022-01-11 深圳创维-Rgb电子有限公司 Video pushing method, device, equipment and storage medium
WO2023060759A1 (en) * 2021-10-11 2023-04-20 深圳创维-Rgb电子有限公司 Video pushing method, device, and storage medium
CN114286188A (en) * 2021-12-15 2022-04-05 陕西广电融媒体集团有限公司 Interactive television system based on digital television broadcasting network

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Application publication date: 20141001