CN103686371A - Smart television service pushing method and system based on age groups - Google Patents
Smart television service pushing method and system based on age groups Download PDFInfo
- Publication number
- CN103686371A CN103686371A CN201310630395.9A CN201310630395A CN103686371A CN 103686371 A CN103686371 A CN 103686371A CN 201310630395 A CN201310630395 A CN 201310630395A CN 103686371 A CN103686371 A CN 103686371A
- Authority
- CN
- China
- Prior art keywords
- age bracket
- user
- application
- intelligent television
- station
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Landscapes
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The invention discloses a smart television service pushing method and system based on age groups. The method includes the steps of A, presetting an initial age group for each channel and application of a smart television and entropy indicating the credibility of the initial age group; B, counting the watching information of the programs, watched by a user, of the channels according to the initial age group and the entropy, and counting the application use information to obtain a first age group based on the channels and a second age group based on the application; C, calculating the estimated age group which a user belongs to according to the weights of the first age group and the second age group; D, pushing or providing services matched with the age group for the user according to the calculated estimated age group.
Description
Technical field
The present invention relates to intelligent television field, relate in particular to a kind of intelligent television service push method and system based on age bracket.
Background technology
In prior art, on Android intelligent television, application abundant species is colorful, type also varies, and application generally has the target group of oneself, but due to not restriction, all users can use various application, the application of some violences or limiter stage also can be downloaded in intelligent television, and the TV programme of some violences or limiter stage also can be play on intelligent television, these contents can cause bad impact to minor body and mind, although, also having at present is specially the product of children customization, but releasing is only the TV of children customization, its product line is too single, be unsuitable for promoting, cost is higher.
Therefore, prior art has yet to be improved and developed.
Summary of the invention
In view of above-mentioned the deficiencies in the prior art, the object of the present invention is to provide a kind of intelligent television service push method and system based on age bracket, be intended to solve intelligent television in prior art and fail effectively TV programme and application to carry out the problem of effective management and control.
Technical scheme of the present invention is as follows:
An intelligent television service push method based on age bracket, wherein, comprises step:
A, to each TV station of intelligent television and the default initial age bracket of application and for representing the entropy of this initial age bracket confidence level;
B, according to described initial age bracket and entropy, to user, watch the viewing information of the program of TV station to add up, and use the use information of application to add up to user, obtain respectively first age bracket and second age bracket based on application of user based on TV station;
C, according to the weight calculation of described the first age bracket and the second age bracket, go out the age bracket valuation under user;
The age bracket valuation that D, basis calculate, for user pushes or provides the service mutually suitable with its age bracket.
The described intelligent television service push method based on age bracket, wherein, described step B also comprises:
User is carried out to recognition of face, according to identifying information, generate unique ID of user, same user's viewing information and use information are added up, obtain the first age bracket corresponding to this user and the second age bracket.
The described intelligent television service push method based on age bracket, wherein, in described step B, the viewing information of watching the program of TV station to surpass Preset Time to user is added up, and abandons the viewing information that does not surpass Preset Time.
The described intelligent television service push method based on age bracket, wherein, in described step B, the computing formula of the second age bracket is:
T2 '=
, wherein, av=| (a2-a1)/2|; A1, a2 are lower limit and the upper limit of the initial age bracket of difference current application; e is the entropy of the initial age bracket of current application; tms is the statistics number of use information, and T2 is the second age bracket of last accumulation, and T2 ' is for adding the second age bracket accumulating after the use information of this application;
The computing formula of the first age bracket is:
T1 '=
, wherein, av '=| (a2 '-a1 ')/2|; A1 ', a2 ' are respectively lower limit and the upper limit of the initial age bracket of TV platform, e ' is the entropy of the initial age bracket of TV platform, tms ' is the statistics number of viewing information, T1 is the first age bracket of last accumulation, and T1 ' is for adding the first age bracket accumulating after the viewing information of this TV station.
The described intelligent television service push method based on age bracket, wherein, in described step D, described service comprises:
For user pushes program or the application adapting with its age bracket, and be user's shielding program or the application incompatible with its age bracket.
The described intelligent television service push method based on age bracket, wherein, the initial age bracket of described application and entropy be for being preset in intelligent television system, or be marked in the inventory file of application.
An intelligent television service supplying system based on age bracket, wherein, comprising:
Presetting module, for to each TV station of intelligent television and the default initial age bracket of application and for representing the entropy of this initial age bracket confidence level;
Statistical module, for watching the viewing information of the program of TV station to add up according to described initial age bracket and entropy to user, and use the use information of application to add up to user, obtain respectively first age bracket and second age bracket based on application of user based on TV station;
Computing module, for going out the age bracket valuation under user according to the weight calculation of described the first age bracket and the second age bracket;
Pushing module, the age bracket valuation calculating for basis, for user pushes or provides the service mutually suitable with its age bracket.
The described intelligent television service supplying system based on age bracket, wherein, described statistical module also comprises:
Recognition unit, for user is carried out to recognition of face, generates unique ID of user according to identifying information, same user's viewing information and use information are added up, and obtains the first age bracket corresponding to this user and the second age bracket.
The described intelligent television service supplying system based on age bracket, wherein, described statistical module also comprises:
Screening unit, adds up for the viewing information of watching the program of TV station to surpass Preset Time to user, and abandons the viewing information that does not surpass Preset Time.
The described intelligent television service supplying system based on age bracket, wherein, described pushing module also comprises:
Push and screen unit, the program or the application that are used to user to push to adapt with its age bracket, and be user's shielding and incompatible program or the application of its age bracket.
Beneficial effect: the present invention is by presetting initial age bracket and an entropy to TV station and application in advance, and use the situation of intelligent television to add up to user, obtain first age bracket and second age bracket based on application of user based on TV station, then according to the weight of TV station and application, obtain the age bracket under user, and to user, push or provide the service mutually suitable with its age bracket by the age bracket calculating, for example push TV programme or the application mutually suitable with its age bracket, and shielding is not suitable for its TV programme of watching or is not suitable for the application of its use, even also can be the user of some special age brackets, children for example, the service of customization is provided, thereby greatly promoted user's experience.
Accompanying drawing explanation
Fig. 1 is the flow chart of a kind of intelligent television service push method preferred embodiment based on age bracket of the present invention.
Fig. 2 is the system block diagram of a kind of intelligent television service supplying system preferred embodiment based on age bracket of the present invention.
Embodiment
The invention provides a kind of intelligent television service push method and system based on age bracket, for making object of the present invention, technical scheme and effect clearer, clear and definite, below the present invention is described in more detail.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.
Refer to Fig. 1, Fig. 1 is the flow chart of a kind of intelligent television service push method preferred embodiment based on age bracket of the present invention, and as shown in the figure, it comprises step:
S101, to each TV station of intelligent television and the default initial age bracket of application and for representing the entropy of this initial age bracket confidence level;
S102, according to described initial age bracket and entropy, to user, watch the viewing information of the program of TV station to add up, and use the use information of application to add up to user, obtain respectively first age bracket and second age bracket based on application of user based on TV station;
S103, according to the weight calculation of described the first age bracket and the second age bracket, go out the age bracket valuation under user;
The age bracket valuation that S104, basis calculate, for user pushes or provides the service mutually suitable with its age bracket.
First, in step S101, first to each TV station of intelligent television and the default initial age bracket of application, this skewed popularity based on TV station and application is established, for example, for HNTV, its spectators are generally in the majority with teenager, for CCTV's children's channel, in the majority with children, but there are some comprehensive TV stations, its spectators' age bracket is more difficult definite, so the present invention also arranges an entropy to default initial age bracket, the confidence level that represents this initial age bracket, for example, for CCTV's children channel, its entropy can be arranged on a higher level, and for the little TV station of some skewed popularities, the entropy of its initial age bracket can be arranged on to a lower level, to reduce the impact on age estimation result.Certainly, the TV station or the program that for some, are difficult to determine to pay close attention to age bracket trend also can not arrange initial age bracket, or entropy is zero, guarantee that error appears in age estimation.
In addition, user is after buying intelligent television, and it is very high using the frequency of the application on intelligent television, so based on this, the present invention also arranges initial age bracket to application, and according to the skewed popularity of application, corresponding entropy is set, for example microblogging application, can set its initial age bracket is 15 ~ 50 years old, entropy is set to 0.8, and for reading educational applications, can set its initial age bracket is 2 ~ 8 years old, its confidence level is higher, so entropy is set to 1.In the present invention, the large I from 0 to 1 of entropy, entropy is larger, and representative is also larger on the result impact of age estimation.
Initial age bracket and entropy for TV station, it is to be written in intelligent television system, can upgrade with intelligent television system, for initial age bracket and the entropy of application, also predeterminable in intelligent television system, and upgrade with intelligent television system, certainly, for application, its initial age bracket and entropy also can be marked in the inventory file (Manifest.xml) of application, and this support that need to apply shop or application itself completes.If station synchronization is too much or application is too much, choose main flow program or main flow software wherein.
In step S102, to user, watch the viewing information of the program of TV station to add up, and use the use information of application to add up to user, described viewing information comprises the station synchronization of watching and watches accordingly number of times, described use information comprises application and the corresponding access times of use, for example user is watched the program of TV station or uses the number of times of application to add up respectively, watch a TV programme to add up once, use once application to add up once, thereby obtain the preference of user Dui Ge TV station and application, and based on this, calculate first age bracket and second age bracket based on application of user based on TV station.
Because TV belongs to open product in the family, the user who watches TV may be the user of the various all ages and classes sections such as the head of a family, children or old man, in order to ensure the viewing information and the use information that count on same user, can carry out recognition of face to user, according to identifying information, generate unique ID of user, same user's viewing information and use information are added up, obtain the first age bracket corresponding to same user and the second age bracket.Can certainly do with family as a wholely, with household integral to program and application, watch or use assessment family watching and the age bracket taxis of the use habit of application program program.
In addition; because user is when watching TV, need frequent zapping to find oneself to want the TV programme seen, so for the accuracy of the viewing information that guarantees to count on; so the viewing information of watching the program of TV station to surpass Preset Time to user in this step is added up; and abandon the viewing information that does not surpass Preset Time, that is to say to only have user to watch station synchronization to surpass Preset Time; for example 5 minutes; illustrate that this viewing information is effective, do not surpass 5 minutes, it is not added up.And for the use of applying, not to limiting its service time, because each click affects not quite concerning result, generally need to use certain application, just can click corresponding application, for overdue certain apply the less generation of this situation, so just do not get rid of this situation.
In statistics, obtain, after viewing information and use information, can calculating the age bracket based on TV station and application according to computing formula.The computational methods of the two are identical, and the computational methods of the second age bracket of take are below example, are elaborated:
T2 '=
, wherein, av=| (a2-a1)/2|; A1, a2 are respectively lower limit and the upper limit of the initial age bracket of current application, e is the entropy of the initial age bracket of current application, tms is the statistics number of use information, and T2 is the second age bracket of last accumulation, and T2 ' is for adding the second age bracket accumulating after the use information of this application.
In above-mentioned formula, T2 is second age bracket based on application of last accumulation, if this uses user after certain application, this use information is dissolved in the second age bracket of last accumulation, thereby the second age bracket is upgraded, in above-mentioned formula, get the smaller value of tms and 99, its implication is when the number of times of the use information counting on is greater than 99, only retain 99 value, and the initial age bracket of the application of this use and entropy are run up in the second age bracket of last accumulation, this is because after the number of times counting on once, for example 100 times, increase again and once use information very little on the impact of age estimation result, this use information directly can be dissolved in the second age bracket of nearest accumulation and be gone.And in the situation that statistics number is less, need to embody the significance level of the use information newly increasing, the proportion of the initial age bracket of the use information newly increasing is improved.
Similarly, the computational methods of the first age bracket are as follows:
T1 '=
, wherein, av '=| (a2 '-a1 ')/2|; A1 ', a2 ' are respectively lower limit and the upper limit of the initial age bracket of TV platform, e ' is the entropy of the initial age bracket of TV platform, tms ' is the statistics number of viewing information, T1 is the first age bracket of last accumulation, and T1 ' is for adding the first age bracket accumulating after the viewing information of this TV station.
In step S103, the first age bracket based on TV station has respectively a weighted value with the second age bracket based on application, customized service due to intelligent television, so in general, the data weighting that the data of TV are applied is lower, so the weighted value of the first age bracket is lower than the weighted value of the second age bracket, for example the computing formula of age bracket can be written as: T=T1*0.3+T2*0.7, wherein, T1 is the first age bracket, T2 is the second age bracket, 0.3 is the weight of the first age bracket, 0.7 is the weight of the second age bracket, the age bracket valuation of T for finally obtaining.These data (comprising T, T1, T2) can be kept in intelligent television database, and use all application are open, application can be by the age data in api interface accessing database, but in order to guarantee the validity of data, the threshold values of certain number of times need be set, for example setting threshold values is 100 times, only watch number of times to surpass 100 times or when access times surpass 100 times, age data is just opened to the outside world, otherwise does not open to the outside world, in order to avoid inaccurate age bracket valuation is to the bad experience of user.
In step S104, under getting user after age bracket, can do a lot of things according to this age data, can push or provide the service mutually suitable with its age bracket for user, for example, for user pushes program or the application adapting with its age bracket, also can be user's shielding program or the application incompatible with its age bracket.This is significant in actual applications, for some specific group, children for example, due to present TV programme and apply uneven, children often browse to some application or programs of containing violent content or limiter stage content because of carelessness, by the present invention, can or mask these application or program filtering, and push program or the application that is applicable to its age bracket for children.For adult, can highlight its useful program that maybe may like or application, and passive show program or the application that departs from its age bracket, the content that makes like this user can quick obtaining need.
In addition, except to user's Push Service, also can provide some more newly-installed services to intelligent television itself, for example, after getting user's age bracket valuation, can sort to the application program of intelligent television, the application program that is applicable to its age bracket is arranged in front, unaccommodated application program is arranged in rear or is not directly shown, equally, can be by processing that the TV programme of intelligent television is sorted, the TV programme that is applicable to its age bracket is arranged in front, unaccommodated TV programme is arranged in rear or is not directly shown.In addition, also can carry out to intelligent television the setting of for example security control and so on, according to user's age bracket, some function of whether opening intelligent television is set, only when age bracket meets the requirements, just open.Certainly, service provided by the present invention is not limited to this, and the service that can do based on age bracket valuation may have polytype, also can constantly update.
What deserves to be explained is, in the intelligent television service push method based on age bracket that the present invention describes, intelligent television system has multi-user management mode, under this multi-user management mode, the user that all ages and classes section could be identified and record to intelligent television system uses record, and record its age bracket of intelligent estimation according to this use, and push different personalized services according to described age bracket.
In the present invention, without user, initiatively input its age, but intelligent television comes unceasing study user's age according to user's custom, constantly understand user, thereby for user provides some intelligent personalized services based on age bracket, and it is more of a specified duration that user uses, its age prediction will be more accurate, and experience also can be better.Meanwhile, calculating process of the present invention is relatively simple, and data processing speed is fast, and its processing procedure is carried out in this locality, can realize fast processing, faster learn age of user, and in use improve the object of age estimation accuracy.
Based on said method, the present invention also provides a kind of intelligent television service supplying system based on age bracket, and as shown in Figure 2, it comprises:
Presetting module 100, for to each TV station of intelligent television and the default initial age bracket of application and for representing the entropy of this initial age bracket confidence level;
Pushing module 400, the age bracket valuation calculating for basis, for user pushes or provides the service mutually suitable with its age bracket.
Further, described statistical module 200 also comprises:
Recognition unit, for user is carried out to recognition of face, generates unique ID of user according to identifying information, same user's viewing information and use information are added up, and obtains the first age bracket corresponding to this user and the second age bracket.
Further, described statistical module 200 also comprises:
Screening unit, adds up for the viewing information of watching the program of TV station to surpass Preset Time to user, and abandons the viewing information that does not surpass Preset Time.
Further, described pushing module 400 also comprises:
Push and screen unit, the program or the application that are used to user to push to adapt with its age bracket, and be user's shielding and incompatible program or the application of its age bracket.About ins and outs existing detailed description in detail in method above of above-mentioned modular unit, therefore repeat no more.
In sum, the present invention is by presetting initial age bracket and an entropy to TV station and application in advance, and use the situation of intelligent television to add up to user, obtain first age bracket and second age bracket based on application of user based on TV station, then according to the weight of TV station and application, obtain the age bracket under user, and to user, push the service mutually suitable with its age bracket by the age bracket calculating, for example push TV programme or the application mutually suitable with its age bracket, and shielding is not suitable for its TV programme of watching or is not suitable for the application of its use, even also can be the user of some special age brackets, children for example, the service of customization is provided, thereby greatly promoted user's experience.
Should be understood that, application of the present invention is not limited to above-mentioned giving an example, and for those of ordinary skills, can be improved according to the above description or convert, and all these improvement and conversion all should belong to the protection range of claims of the present invention.
Claims (10)
1. the intelligent television service push method based on age bracket, is characterized in that, comprises step:
A, to each TV station of intelligent television and the default initial age bracket of application and for representing the entropy of this initial age bracket confidence level;
B, according to described initial age bracket and entropy, to user, watch the viewing information of the program of TV station to add up, and use the use information of application to add up to user, obtain respectively first age bracket and second age bracket based on application of user based on TV station;
C, according to the weight calculation of described the first age bracket and the second age bracket, go out the age bracket valuation under user;
The age bracket valuation that D, basis calculate, for user pushes or provides the service mutually suitable with its age bracket.
2. the intelligent television service push method based on age bracket according to claim 1, is characterized in that, described step B also comprises:
User is carried out to recognition of face, according to identifying information, generate unique ID of user, same user's viewing information and use information are added up, obtain the first age bracket corresponding to same user and the second age bracket.
3. the intelligent television service push method based on age bracket according to claim 1, it is characterized in that, in described step B, the viewing information of watching the program of TV station to surpass Preset Time to user is added up, and abandons the viewing information that does not surpass Preset Time.
4. the intelligent television service push method based on age bracket according to claim 1, is characterized in that, in described step B, the computing formula of the second age bracket is:
T2 '=
, wherein, av=| (a2-a1)/2|; A1, a2 are respectively lower limit and the upper limit of the initial age bracket of current application, e is the entropy of the initial age bracket of current application, tms is the statistics number of use information, and T2 is the second age bracket of last accumulation, and T2 ' is for adding the second age bracket accumulating after the use information of this application;
The computing formula of the first age bracket is:
T1 '=
, wherein, av '=| (a2 '-a1 ')/2|; A1 ', a2 ' are respectively lower limit and the upper limit of the initial age bracket of TV platform, e ' is the entropy of the initial age bracket of TV platform, tms ' is the statistics number of viewing information, T1 is the first age bracket of last accumulation, and T1 ' is for adding the first age bracket accumulating after the viewing information of this TV station.
5. the intelligent television service push method based on age bracket according to claim 1, is characterized in that, in described step D, described service comprises:
For user pushes program or the application adapting with its age bracket, and be user's shielding program or the application incompatible with its age bracket.
6. the intelligent television service push method based on age bracket according to claim 1, is characterized in that, the initial age bracket of described application and entropy be for being preset in intelligent television system, or is marked in the inventory file of application.
7. the service of the intelligent television based on an age bracket supplying system, is characterized in that, comprising:
Presetting module, for to each TV station of intelligent television and the default initial age bracket of application and for representing the entropy of this initial age bracket confidence level;
Statistical module, for watching the viewing information of the program of TV station to add up according to described initial age bracket and entropy to user, and use the use information of application to add up to user, obtain respectively first age bracket and second age bracket based on application of user based on TV station;
Computing module, for going out the age bracket valuation under user according to the weight calculation of described the first age bracket and the second age bracket;
Pushing module, the age bracket valuation calculating for basis, for user pushes or provides the service mutually suitable with its age bracket.
8. the intelligent television service supplying system based on age bracket according to claim 7, is characterized in that, described statistical module also comprises:
Recognition unit, for user is carried out to recognition of face, generates unique ID of user according to identifying information, same user's viewing information and use information are added up, and obtains the first age bracket corresponding to this user and the second age bracket.
9. the intelligent television service supplying system based on age bracket according to claim 7, is characterized in that, described statistical module also comprises:
Screening unit, adds up for the viewing information of watching the program of TV station to surpass Preset Time to user, and abandons the viewing information that does not surpass Preset Time.
10. the intelligent television service supplying system based on age bracket according to claim 7, is characterized in that, described pushing module also comprises:
Push and screen unit, the program or the application that are used to user to push to adapt with its age bracket, and be user's shielding and incompatible program or the application of its age bracket.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310630395.9A CN103686371B (en) | 2013-12-02 | 2013-12-02 | A kind of intelligent television service push method and system based on age bracket |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310630395.9A CN103686371B (en) | 2013-12-02 | 2013-12-02 | A kind of intelligent television service push method and system based on age bracket |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103686371A true CN103686371A (en) | 2014-03-26 |
| CN103686371B CN103686371B (en) | 2017-07-11 |
Family
ID=50322438
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310630395.9A Active CN103686371B (en) | 2013-12-02 | 2013-12-02 | A kind of intelligent television service push method and system based on age bracket |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103686371B (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104410710A (en) * | 2014-12-15 | 2015-03-11 | 北京国双科技有限公司 | Data push method and device |
| CN104822074A (en) * | 2015-04-14 | 2015-08-05 | 天脉聚源(北京)传媒科技有限公司 | Television program recommending method and device thereof |
| CN105159990A (en) * | 2015-08-31 | 2015-12-16 | 北京奇艺世纪科技有限公司 | Method and device for hierarchical control of media data |
| CN105791913A (en) * | 2016-04-27 | 2016-07-20 | 青岛海信传媒网络技术有限公司 | Multi-user telephone configuration information setting method, multi-user telephone configuration information setting system and cloud server |
| CN105872617A (en) * | 2015-12-28 | 2016-08-17 | 乐视致新电子科技（天津）有限公司 | Program grading play method and device based on face recognition |
| CN106202120A (en) * | 2015-05-07 | 2016-12-07 | 阿里巴巴集团控股有限公司 | For determining the method and apparatus of interest information that user gathers |
| CN106899867A (en) * | 2015-12-21 | 2017-06-27 | 北京奇虎科技有限公司 | A kind of data processing method, device and terminal |
| CN112135170A (en) * | 2020-09-22 | 2020-12-25 | 青岛聚看云科技有限公司 | Display device, server and video recommendation method |
| WO2021087747A1 (en) * | 2019-11-05 | 2021-05-14 | 深圳市欢太科技有限公司 | Method and apparatus for processing push content, and electronic device and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008182392A (en) * | 2007-01-24 | 2008-08-07 | Sky Kk | Television parental control method, television parental control apparatus and television parental control program |
| CN101472049A (en) * | 2007-12-25 | 2009-07-01 | 康佳集团股份有限公司 | Automatic control method for reception of television program and television set |
| JP2009301323A (en) * | 2008-06-13 | 2009-12-24 | Hitachi Ltd | Image display device |
| CN101950358A (en) * | 2010-09-30 | 2011-01-19 | 冠捷显示科技（厦门）有限公司 | Method for automatically estimating age and judging sex by intelligent television |
| CN102057381A (en) * | 2008-06-04 | 2011-05-11 | 三星电子株式会社 | Method and device for transmitting and receiving filtered content in accordance with age restrictions |
| US20120093484A1 (en) * | 2010-10-15 | 2012-04-19 | Kabushiki Kaisha Toshiba | Playback apparatus and playback method |
| TW201227373A (en) * | 2010-12-24 | 2012-07-01 | Hannspree Inc | Video content outputting apparatus and video content outputting amethod for filtering video content signal according to audience age |
-
2013
- 2013-12-02 CN CN201310630395.9A patent/CN103686371B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008182392A (en) * | 2007-01-24 | 2008-08-07 | Sky Kk | Television parental control method, television parental control apparatus and television parental control program |
| CN101472049A (en) * | 2007-12-25 | 2009-07-01 | 康佳集团股份有限公司 | Automatic control method for reception of television program and television set |
| CN102057381A (en) * | 2008-06-04 | 2011-05-11 | 三星电子株式会社 | Method and device for transmitting and receiving filtered content in accordance with age restrictions |
| JP2009301323A (en) * | 2008-06-13 | 2009-12-24 | Hitachi Ltd | Image display device |
| CN101950358A (en) * | 2010-09-30 | 2011-01-19 | 冠捷显示科技（厦门）有限公司 | Method for automatically estimating age and judging sex by intelligent television |
| US20120093484A1 (en) * | 2010-10-15 | 2012-04-19 | Kabushiki Kaisha Toshiba | Playback apparatus and playback method |
| TW201227373A (en) * | 2010-12-24 | 2012-07-01 | Hannspree Inc | Video content outputting apparatus and video content outputting amethod for filtering video content signal according to audience age |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104410710B (en) * | 2014-12-15 | 2018-04-03 | 北京国双科技有限公司 | Data push method and device |
| CN104410710A (en) * | 2014-12-15 | 2015-03-11 | 北京国双科技有限公司 | Data push method and device |
| CN104822074B (en) * | 2015-04-14 | 2017-11-28 | 天脉聚源(北京)传媒科技有限公司 | A kind of recommendation method and device of TV programme |
| CN104822074A (en) * | 2015-04-14 | 2015-08-05 | 天脉聚源(北京)传媒科技有限公司 | Television program recommending method and device thereof |
| CN106202120A (en) * | 2015-05-07 | 2016-12-07 | 阿里巴巴集团控股有限公司 | For determining the method and apparatus of interest information that user gathers |
| CN105159990A (en) * | 2015-08-31 | 2015-12-16 | 北京奇艺世纪科技有限公司 | Method and device for hierarchical control of media data |
| CN105159990B (en) * | 2015-08-31 | 2019-02-01 | 北京奇艺世纪科技有限公司 | A kind of method and apparatus of media data grading control |
| CN106899867A (en) * | 2015-12-21 | 2017-06-27 | 北京奇虎科技有限公司 | A kind of data processing method, device and terminal |
| WO2017113703A1 (en) * | 2015-12-28 | 2017-07-06 | 乐视控股（北京）有限公司 | Human face recognition-based method and apparatus for rated broadcasting of programs |
| CN105872617A (en) * | 2015-12-28 | 2016-08-17 | 乐视致新电子科技（天津）有限公司 | Program grading play method and device based on face recognition |
| CN105791913A (en) * | 2016-04-27 | 2016-07-20 | 青岛海信传媒网络技术有限公司 | Multi-user telephone configuration information setting method, multi-user telephone configuration information setting system and cloud server |
| WO2021087747A1 (en) * | 2019-11-05 | 2021-05-14 | 深圳市欢太科技有限公司 | Method and apparatus for processing push content, and electronic device and storage medium |
| CN112135170A (en) * | 2020-09-22 | 2020-12-25 | 青岛聚看云科技有限公司 | Display device, server and video recommendation method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103686371B (en) | 2017-07-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103686371A (en) | Smart television service pushing method and system based on age groups | |
| US11716511B2 (en) | Methods and apparatus to calibrate audience measurement ratings based on return path data | |
| US11798011B2 (en) | Methods and apparatus to identify users associated with device application usage | |
| KR102473454B1 (en) | Methods and apparatus to compensate impression data for misattribution and/or non-coverage by a database proprietor | |
| CN103686237B (en) | Recommend the method and system of video resource | |
| CN103686236A (en) | Method and system for recommending video resource | |
| CN106604137B (en) | Method and device for predicting video watching duration | |
| CN103136280A (en) | System and method of automatically searching hot point video | |
| US11941646B2 (en) | Methods and apparatus to estimate population reach from marginals | |
| US20230222370A1 (en) | Methods and apparatus to determine a conditional probability based on audience member probability distributions for media audience measurement | |
| CN103918277B (en) | The system and method for the confidence level being just presented for determining media item | |
| US11991404B2 (en) | Synthetic total audience ratings | |
| CN108763306B (en) | Video recommendation method and device based on multiple users | |
| CN107948755B (en) | Video content recommendation method and system combining user watching duration | |
| US20230396844A1 (en) | Methods and apparatus to determine additive reach adjustment factors for audience measurement | |
| US12041304B2 (en) | Methods and apparatus for co-viewing adjustment | |
| US11765430B2 (en) | Methods and apparatus to calibrate return path data for audience measurement | |
| US20240107117A1 (en) | Methods and apparatus to determine media viewing information for hybrid content delivery | |
| US20230385858A1 (en) | Methods and apparatus to adjust for non-response using big data | |
| CN118747658A (en) | Live broadcast sales prediction system | |
| CN105516279B (en) | A kind of user account creation method and device | |
| JP2024143399A (en) | Viewer attribute estimation device and viewer attribute estimation method | |
| CN116522000A (en) | Training method and device for recommendation model for recommending content to user | |
| CN116523185A (en) | Policy adjustment method and device, electronic equipment and storage medium | |
| CN118075346A (en) | Resource determination method, model training method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |