CN104079976A - Set top box user interface recommendation method and system - Google Patents
Set top box user interface recommendation method and system Download PDFInfo
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Abstract
The invention discloses a set top box user interface recommendation method which comprises the steps of counting on-demand unicast historical data of programs of a set top box within a preset time period, transmitting the on-demand unicast historical data to a data center, analyzing the on-demand unicast historical data through the data center to obtain corresponding user interest types, recommending user interfaces corresponding to the user interest types to the set top box through the data center, and downloading and updating user interfaces through the set top box. The invention further correspondingly discloses a set top box user interface recommendation system. By means of the technical scheme, different user interfaces can be recommended to different users, and the users can conveniently and quickly search for and inquire individualized programs.
Description
Technical field
The present invention relates to electronic technology field, particularly relate to a kind of set-top box users interface recommend method and system.
Background technology
Set Top Box (SET, Set Top Box, digital video interchange box) is the equipment of a connection display device and outside source.The digital signal of compression is converted to TV programme by Set Top Box, and show on the display devices such as television set.
In conventional art, the user interface of Set Top Box (UI, User Interface) is through customization in advance, unified to all users, is unfavorable for different user search, the different personalized programs of inquiry.
Summary of the invention
Based on this, be necessary to provide a kind of set-top box users interface recommend method and system, can recommend different user interface for different users, be convenient to user's fast search, inquire about personalized program.
A kind of set-top box users interface recommend method, comprising:
The program request historical data of the programs of set-top box program request in statistics Preset Time section;
Described program request historical data is transferred to data center;
Described data center analyzes described program request historical data, obtains corresponding consumer taste type;
The user interface corresponding with described consumer taste type recommended to described Set Top Box by described data center;
Described Set Top Box is downloaded also more new user interface.
In one embodiment, the step of the program request historical data of the programs of set-top box program request in described statistics Preset Time section, comprising:
Program category, video-on-demand times and the program request duration of the programs of set-top box program request in statistics Preset Time section.
In one embodiment, described data center analyzes described program request historical data, obtains the step of corresponding consumer taste type, comprising:
Described data center, according to the video-on-demand times of the program of different program categories, determines corresponding consumer taste type by the maximum program category of video-on-demand times; Or
Described data center, according to the program request duration of the program of different program categories, determines corresponding consumer taste type by the maximum program category of program request duration; Or
Described data center, according to the video-on-demand times of the program of different program categories and program request duration, determines corresponding consumer taste type by equalization point the longest long program category sowing time.
In one embodiment, the step of the user interface corresponding with described consumer taste type is recommended by described data center to described Set Top Box, comprising:
Described data center determines the user interface type corresponding with described consumer taste type;
Described data center, in the user interface of definite user interface type, carries out typesetting to the previewing programs content corresponding with described consumer taste type;
Described data center notifies described Set Top Box download user interface.
In one embodiment, described Set Top Box is downloaded also the more step of new user interface, comprising:
Described Set Top Box is downloaded user interface and the described previewing programs content of described definite user interface type;
Show described user interface and described previewing programs content.
A kind of set-top box users interface commending system, comprising: Set Top Box and data center; Described Set Top Box comprises statistical module, upper transmission module, download module, display module; Described data center comprises analysis module, recommending module;
Described statistical module, for adding up the program request historical data of the programs of set-top box program request in Preset Time section;
Described upper transmission module, for being transferred to data center by described program request historical data;
Described analysis module, for described program request historical data is analyzed, obtains corresponding consumer taste type;
Described recommending module, for recommending the user interface corresponding with described consumer taste type to described Set Top Box;
Described download module, for download user interface;
Described display module, for upgrading described user interface.
In one embodiment, described statistical module, for adding up program category, video-on-demand times and the program request duration of the programs of set-top box program request in Preset Time section.
In one embodiment, described analysis module, for one of in the following manner, analyzes described program request historical data, obtains corresponding consumer taste type:
Described analysis module, according to the video-on-demand times of the program of different program categories, is determined corresponding consumer taste type by the maximum program category of video-on-demand times; Or
Described analysis module, according to the program request duration of the program of different program categories, is determined corresponding consumer taste type by the maximum program category of program request duration; Or
Described analysis module, according to the video-on-demand times of the program of different program categories and program request duration, is determined corresponding consumer taste type by equalization point the longest long program category sowing time.
In one embodiment, described recommending module, for determining the user interface type corresponding with described consumer taste type; And in the user interface of definite user interface type, the previewing programs content corresponding with described consumer taste type carried out to typesetting; And notify described Set Top Box download user interface.
In one embodiment, described download module, for downloading user interface and the described previewing programs content of described definite user interface type; Described display module, for showing described user interface and described previewing programs content.
Above-mentioned set-top box users interface recommend method and system, by the program request historical data of the programs of set-top box program request in statistics Preset Time section, upload to data center, analyze and obtain corresponding consumer taste type by data center, the user interface corresponding with consumer taste type recommended to Set Top Box again by data center, than conventional art, the no longer fixed unified customization in set-top box users interface is to all users, but to analyzing with user-dependent program request historical data, thereby can recommend different user interface for different users, be convenient to user's fast search, inquire about personalized program.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of a set-top box users interface recommend method in embodiment;
Fig. 2 is the structural representation of a set-top box users interface commending system in embodiment.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.
Referring to Fig. 1, provide in one embodiment a kind of set-top box users interface recommend method.The method comprises:
Step 101, the program request historical data of the programs of set-top box program request in statistics Preset Time section.
Concrete, Preset Time section is a period of time that the user of Set Top Box sets in advance, for example can be, but not limited to is one day.In this Preset Time section, Set Top Box in the course of the work, can receive the operational order of user's repeatedly play-on-demand program.Set Top Box is carried out record to the program request historical data of play-on-demand program, and statistic of classification.
Specifically in one embodiment, Set Top Box is added up program request historical data, can be program category, video-on-demand times and the program request duration of the programs of set-top box program request in statistics Preset Time section.Wherein, program category is in advance through dividing, as news category program, game class program, arenas class program etc.Video-on-demand times is in Preset Time section, the total degree of this program category of user's program request.Program request duration is the lasting reproduction time of each request program.
Step 102, is transferred to data center by program request historical data.
Concrete, program request historical data is transferred to data center by Set Top Box, for data center, program request historical data analyzed.
Step 103, data center analyzes program request historical data, obtains corresponding consumer taste type.
Concrete, data center analyzes program request historical data according to default algorithm, thereby obtains corresponding consumer taste type.
Specifically in one embodiment, the play-on-demand program historical data of Set Top Box statistics comprises program category, video-on-demand times, program request duration.Data center can obtain consumer taste type according to the analysis of one of following manner:
Data center, according to the video-on-demand times of the program of different program categories, determines corresponding consumer taste type by the maximum program category of video-on-demand times; Or data center is according to the program request duration of the program of different program categories, determines corresponding consumer taste type by the maximum program category of program request duration; Or data center is according to the video-on-demand times of the program of different program categories and program request duration, determines corresponding consumer taste type by equalization point the longest long program category sowing time.Consumer taste type is pre-defined by data center, such as news category, game class etc.
Step 104, the user interface corresponding with consumer taste type recommended to Set Top Box by data center.
Concrete, data center determines after consumer taste type, recommends the user interface corresponding with consumer taste type to Set Top Box.Style, the key arrangement etc. of user interface adapts with consumer taste type.In user interface, also can show the program commending content that consumer taste type is corresponding.
Specifically in one embodiment, the step of user interface is recommended by data center to Set Top Box, comprising:
Data center determines the user interface corresponding with consumer taste type.
Data center, in the user interface of definite user interface type, carries out typesetting to the previewing programs content corresponding with consumer taste type.
Data center notifies described Set Top Box download user interface.
Step 105, Set Top Box is downloaded also more new user interface.
Concrete, Set Top Box can automatically be downloaded and upgrade, also can be after the instruction of user's input validation, then download and upgrade.For example Set Top Box can be downloaded the user interface of the user interface type of being determined by data center, and while program downloading preview content, after download completes, shows this user interface and previewing programs content.
Referring to Fig. 2, provide in one embodiment a kind of set-top box users interface commending system.This system comprises: Set Top Box 200 and data center 300.Set Top Box 200 comprises statistical module 201, upper transmission module 202, download module 203, display module 204.Data center 300 comprises analysis module 301, recommending module 302.
Statistical module 201, for adding up the program request historical data of the programs of set-top box program request in Preset Time section.
Upper transmission module 202, for being transferred to data center 300 by program request historical data.
Analysis module 301, for program request historical data is analyzed, obtains corresponding consumer taste type.
Recommending module 302, for recommending the user interface corresponding with consumer taste type to Set Top Box.
Download module 203, for download user interface.
Display module 204, for new user interface more.
In one embodiment, statistical module 201, for adding up program category, video-on-demand times and the program request duration of the programs of set-top box program request in Preset Time section.Analysis module 301, for one of in the following manner, described program request historical data is analyzed, obtained corresponding consumer taste type: according to the video-on-demand times of the program of different program categories, determine corresponding consumer taste type by the maximum program category of video-on-demand times; Or according to the program request duration of the program of different program categories, determine corresponding consumer taste type by the maximum program category of program request duration; Or the video-on-demand times of the program of different program categories and program request duration, determine corresponding consumer taste type by equalization point the longest long program category sowing time.
In one embodiment, recommending module 302, for determining the user interface type corresponding with consumer taste type; And in the user interface of definite user interface type, the previewing programs content corresponding with consumer taste type carried out to typesetting; And announcement machine top box download user interface.Download module 203, for user interface and the previewing programs content of the definite user interface type in downloading data center.Display module 204, for showing user interface and previewing programs content.
The above embodiment has only expressed several execution mode of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection range of patent of the present invention should be as the criterion with claims.
Claims (10)
1. a set-top box users interface recommend method, is characterized in that, described method comprises:
The program request historical data of the programs of set-top box program request in statistics Preset Time section;
Described program request historical data is transferred to data center;
Described data center analyzes described program request historical data, obtains corresponding consumer taste type;
The user interface corresponding with described consumer taste type recommended to described Set Top Box by described data center;
Described Set Top Box is downloaded also more new user interface.
2. method according to claim 1, is characterized in that, the step of the program request historical data of the programs of set-top box program request in described statistics Preset Time section, comprising:
Program category, video-on-demand times and the program request duration of the programs of set-top box program request in statistics Preset Time section.
3. method according to claim 2, is characterized in that, described data center analyzes described program request historical data, obtains the step of corresponding consumer taste type, comprising:
Described data center, according to the video-on-demand times of the program of different program categories, determines corresponding consumer taste type by the maximum program category of video-on-demand times; Or
Described data center, according to the program request duration of the program of different program categories, determines corresponding consumer taste type by the maximum program category of program request duration; Or
Described data center, according to the video-on-demand times of the program of different program categories and program request duration, determines corresponding consumer taste type by equalization point the longest long program category sowing time.
4. method according to claim 3, is characterized in that, the step of the user interface corresponding with described consumer taste type is recommended by described data center to described Set Top Box, comprising:
Described data center determines the user interface type corresponding with described consumer taste type;
Described data center, in the user interface of definite user interface type, carries out typesetting to the previewing programs content corresponding with described consumer taste type;
Described data center notifies described Set Top Box download user interface.
5. method according to claim 4, is characterized in that, described Set Top Box is downloaded also the more step of new user interface, comprising:
Described Set Top Box is downloaded user interface and the described previewing programs content of described definite user interface type;
Show described user interface and described previewing programs content.
6. a set-top box users interface commending system, is characterized in that, described system comprises: Set Top Box and data center; Described Set Top Box comprises statistical module, upper transmission module, download module, display module; Described data center comprises analysis module, recommending module;
Described statistical module, for adding up the program request historical data of the programs of set-top box program request in Preset Time section;
Described upper transmission module, for being transferred to data center by described program request historical data;
Described analysis module, for described program request historical data is analyzed, obtains corresponding consumer taste type;
Described recommending module, for recommending the user interface corresponding with described consumer taste type to described Set Top Box;
Described download module, for download user interface;
Described display module, for upgrading described user interface.
7. system according to claim 6, is characterized in that, described statistical module, for adding up program category, video-on-demand times and the program request duration of the programs of set-top box program request in Preset Time section.
8. system according to claim 7, is characterized in that, described analysis module, for one of in the following manner, is analyzed described program request historical data, obtains corresponding consumer taste type:
Described analysis module, according to the video-on-demand times of the program of different program categories, is determined corresponding consumer taste type by the maximum program category of video-on-demand times; Or
Described analysis module, according to the program request duration of the program of different program categories, is determined corresponding consumer taste type by the maximum program category of program request duration; Or
Described analysis module, according to the video-on-demand times of the program of different program categories and program request duration, is determined corresponding consumer taste type by equalization point the longest long program category sowing time.
9. system according to claim 8, is characterized in that, described recommending module, for determining the user interface type corresponding with described consumer taste type; And in the user interface of definite user interface type, the previewing programs content corresponding with described consumer taste type carried out to typesetting; And notify described Set Top Box download user interface.
10. system according to claim 9, is characterized in that, described download module, for downloading user interface and the described previewing programs content of described definite user interface type; Described display module, for showing described user interface and described previewing programs content.
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Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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WO2019006754A1 (en) * | 2017-07-07 | 2019-01-10 | Arris Enterprises Llc | Recommending audiovisual content items to subscriber based on locations visited by subscriber |
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Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1558666A (en) * | 2004-01-20 | 2004-12-29 | 大唐微电子技术有限公司 | System and method for individualized customizing of set-top box equipment |
JP4329038B2 (en) * | 2005-05-10 | 2009-09-09 | ソニー株式会社 | Program recommendation device and program recommendation method |
CN101835027A (en) * | 2010-04-16 | 2010-09-15 | 中山大学 | Screen audience rating counting and content recommendation system and method based on two-way set top box |
CN102184235A (en) * | 2011-05-13 | 2011-09-14 | 广州星海传媒有限公司 | Set top box-based digital television program recommending method and system |
CN102769781A (en) * | 2012-07-17 | 2012-11-07 | 青岛海信传媒网络技术有限公司 | Method and device for recommending television program |
CN103164192A (en) * | 2011-12-08 | 2013-06-19 | 上海未来宽带技术股份有限公司 | Individuation interface forming method and system for set top box |
CN103248960A (en) * | 2013-05-29 | 2013-08-14 | 百视通网络电视技术发展有限责任公司 | User desktop realizing method and system based on television terminal |
CN103262110A (en) * | 2010-12-20 | 2013-08-21 | 英特尔公司 | Techniques for management and presentation of content |
-
2014
- 2014-05-15 CN CN201410206219.7A patent/CN104079976A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1558666A (en) * | 2004-01-20 | 2004-12-29 | 大唐微电子技术有限公司 | System and method for individualized customizing of set-top box equipment |
JP4329038B2 (en) * | 2005-05-10 | 2009-09-09 | ソニー株式会社 | Program recommendation device and program recommendation method |
CN101835027A (en) * | 2010-04-16 | 2010-09-15 | 中山大学 | Screen audience rating counting and content recommendation system and method based on two-way set top box |
CN103262110A (en) * | 2010-12-20 | 2013-08-21 | 英特尔公司 | Techniques for management and presentation of content |
CN102184235A (en) * | 2011-05-13 | 2011-09-14 | 广州星海传媒有限公司 | Set top box-based digital television program recommending method and system |
CN103164192A (en) * | 2011-12-08 | 2013-06-19 | 上海未来宽带技术股份有限公司 | Individuation interface forming method and system for set top box |
CN102769781A (en) * | 2012-07-17 | 2012-11-07 | 青岛海信传媒网络技术有限公司 | Method and device for recommending television program |
CN103248960A (en) * | 2013-05-29 | 2013-08-14 | 百视通网络电视技术发展有限责任公司 | User desktop realizing method and system based on television terminal |
Cited By (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2016082134A1 (en) * | 2014-11-26 | 2016-06-02 | 刘一佳 | Method for recommending movie and television resources and device for recommending movie and television resources |
CN105635237A (en) * | 2014-11-27 | 2016-06-01 | 广州华多网络科技有限公司 | Downloading method and system of application program in channel of client, and device |
CN106658180A (en) * | 2015-10-29 | 2017-05-10 | 北京国双科技有限公司 | Method and apparatus for determining preference degrees of user for channels |
CN105898355A (en) * | 2015-12-08 | 2016-08-24 | 乐视网信息技术(北京)股份有限公司 | Block content displaying method and device and server |
WO2018018384A1 (en) * | 2016-07-25 | 2018-02-01 | 黄新勇 | Interface displaying method and system in television broadcast |
CN106330561A (en) * | 2016-08-30 | 2017-01-11 | 中国民生银行股份有限公司 | Dynamic UI setting method and apparatus |
CN106878768A (en) * | 2017-03-17 | 2017-06-20 | 山东浪潮商用系统有限公司 | A kind of program broadcasting method, Set Top Box and system |
WO2019006754A1 (en) * | 2017-07-07 | 2019-01-10 | Arris Enterprises Llc | Recommending audiovisual content items to subscriber based on locations visited by subscriber |
US11974018B2 (en) | 2017-07-07 | 2024-04-30 | Arris Enterprises Llc | Recommending audiovisual content items to a subscriber based on locations visited by the subscriber |
CN108965946A (en) * | 2018-06-29 | 2018-12-07 | 广州视源电子科技股份有限公司 | Channel data processing method, system, readable storage medium storing program for executing and electronic equipment |
CN112071313A (en) * | 2020-07-22 | 2020-12-11 | 特斯联科技集团有限公司 | Voice broadcasting method and device, electronic equipment and medium |
CN113138790A (en) * | 2021-05-14 | 2021-07-20 | 广东九联科技股份有限公司 | Customized integration method and device for Android set top box and set top box integrated development system |
CN113138790B (en) * | 2021-05-14 | 2023-11-10 | 广东九联科技股份有限公司 | Customized integration method and device for Android set top box and integrated development system for set top box |
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