CN105933771B - A kind of television content recommended method and system based on customer incident - Google Patents
A kind of television content recommended method and system based on customer incident Download PDFInfo
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- CN105933771B CN105933771B CN201610366957.7A CN201610366957A CN105933771B CN 105933771 B CN105933771 B CN 105933771B CN 201610366957 A CN201610366957 A CN 201610366957A CN 105933771 B CN105933771 B CN 105933771B
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- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000009434 installation Methods 0.000 claims description 38
- 238000012790 confirmation Methods 0.000 claims description 14
- 238000006243 chemical reaction Methods 0.000 claims description 12
- 230000002452 interceptive effect Effects 0.000 claims description 5
- 238000009825 accumulation Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000003542 behavioural effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
- H04N21/44222—Analytics of user selections, e.g. selection of programs or purchase activity
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- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Social Psychology (AREA)
- Computer Networks & Wireless Communication (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Information Transfer Between Computers (AREA)
Abstract
A kind of television content recommended method and system based on customer incident disclosed by the invention, wherein method is comprising steps of television obtains the customer incident of active user；Inquiring the customer incident whether there is in the Generalization bounds that server-side pre-establishes, and definition has the corresponding relationship of customer incident and type of recommendation in the Generalization bounds；When the customer incident is present in the Generalization bounds that server-side pre-establishes, television obtains the corresponding type of recommendation of customer incident from the server-side, and the corresponding recommendation of the type of recommendation that server-side defines is shown in television, definition has the corresponding relationship of type of recommendation and recommendation in the Generalization bounds of server-side.Above scheme through the invention is solved in no big data, the problem that the television content in the case where analysis of no large-scale consumer behavior record is recommended, the very good solution content operation demand of TV.And television content recommended method of the present invention is simple, Yi Shixian, precision operation.
Description
Technical field
The present invention relates to television content recommended technology field more particularly to a kind of television content recommendations based on customer incident
Method and system.
Background technique
In big data era upcoming today, more and more products are become dependent upon in big data, they pass through big
Data obtain the behavioural habits of user, analyze user demand with big data, all kinds of contents are pushed with big data to user.
However the data accumulation of user is not the accumulation and analysis for capableing of performance the short time.At the beginning of big data is established, do not have
How do we give user's push content when having big data that can run, and realize needed for our operation?
Current smart television has been popularized, and can attract user's desire to purchase is also essentially smart television, smart television
Built-in application is had certain limitations as needed for memory headroom and operation, and built-in application of dispatching from the factory will not be endless
, then those do not dispatch from the factory, how the application being built in inside TV goes guidance user to download use, this is television manufacturer fortune
Seek urgent problem.
Therefore, the existing technology needs to be improved and developed.
Summary of the invention
In view of above-mentioned deficiencies of the prior art, the purpose of the present invention is to provide a kind of television contents based on customer incident
Recommended method and system, it is intended to which use can not be downloaded using user inside TV by solving the problems, such as to be built in the prior art.
Technical scheme is as follows:
A kind of television content recommended method based on customer incident, wherein comprising steps of
A, television obtains the customer incident of active user；
B, inquiring the customer incident whether there is in the Generalization bounds that server-side pre-establishes, in the Generalization bounds
Definition has the corresponding relationship of customer incident and type of recommendation；
C, when the customer incident is present in the Generalization bounds that server-side pre-establishes, television is from the server-side
The corresponding type of recommendation of middle acquisition customer incident, and the corresponding recommendation of the type of recommendation that server-side defines is shown in television
Content, definition has the corresponding relationship of type of recommendation and recommendation in the Generalization bounds of server-side.
The television content recommended method based on customer incident, wherein the step C is specifically included:
C1, when the customer incident is present in the Generalization bounds that server-side pre-establishes, television is from the service
The corresponding type of recommendation of customer incident is obtained in end, then shows whether receive the instruction of the type of recommendation in television；
C2, when television receive the type of recommendation of user confirmation instruction when, television obtain type of recommendation it is corresponding
Recommendation data start and show the corresponding television content of the recommendation data.
The television content recommended method based on customer incident, wherein the step C2 is specifically included:
When television receives the confirmation instruction of the type of recommendation of user, television obtains the corresponding recommendation of type of recommendation
Content-data, and data conversion is localized to the recommendation data, start and shows in the recommendation after the conversion
Hold the corresponding television content of data.
The television content recommended method based on customer incident, wherein the type of recommendation includes poster and application
Installation.
The television content recommended method based on customer incident, wherein when the type of recommendation is application installation,
The step C are as follows:
When the customer incident is present in the Generalization bounds that server-side pre-establishes, television is from the server-side
The installation path of application is obtained, and downloads installation, then starts the application of the installation.
A kind of system based on as above any television content recommended method based on customer incident, wherein include:
Module is obtained, the customer incident of active user is obtained for television；
Enquiry module whether there is the institute in the Generalization bounds that server-side pre-establishes for inquiring the customer incident
State the corresponding relationship that definition in Generalization bounds has customer incident and type of recommendation；
Display module, for when the customer incident is present in the Generalization bounds that server-side pre-establishes, television
The corresponding type of recommendation of customer incident is obtained from the server-side, and shows the recommendation class that server-side defines in television
The corresponding recommendation of type, definition has the corresponding relationship of type of recommendation and recommendation in the Generalization bounds of server-side.
The system for the method that the television content based on customer incident is recommended, wherein shown module specifically includes:
It obtains and display unit, for when the customer incident is present in the Generalization bounds that server-side pre-establishes,
Television obtains the corresponding type of recommendation of customer incident from the server-side, then shows whether receive described push away in television
Recommend the instruction of type；
Reception and display unit, when instructing for receiving the confirmation of type of recommendation of user when television, television is obtained
The corresponding recommendation data of type of recommendation are taken, start and show the corresponding television content of the recommendation data.
The system for the method that the television content based on customer incident is recommended, wherein the reception and display unit
Specifically include: when the confirmation instruction of the type of recommendation for receiving user when television, it is corresponding that television obtains type of recommendation
Recommendation data, and data conversion is localized to the recommendation data, after starting and showing the conversion
The corresponding television content of recommendation data.
The system for the method that the television content based on customer incident is recommended, wherein the type of recommendation includes sea
Report and application installation.
The system for the method that the television content based on customer incident is recommended, wherein when the type of recommendation is to answer
When with installation, display module, for when the customer incident is present in the Generalization bounds that server-side pre-establishes, television
The installation path of application is obtained from the server-side, and downloads installation, then starts the application of the installation.
The utility model has the advantages that above scheme through the invention, solves in no big data, in no large-scale consumer
Behavior record analyze in the case where the problem recommended of television content, the very good solution content operation demand of TV.And this
Invention television content recommended method is simple, Yi Shixian, precision operation.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of the television content recommended method preferred embodiment based on customer incident of the present invention.
Fig. 2 is the specific flow chart of step S300 in method shown in Fig. 1.
Fig. 3 is a kind of structural frames of the system preferred embodiment of the television content recommended method based on customer incident of the present invention
Figure.
Fig. 4 is the specific block diagram of display module in system shown in Figure 3.
Specific embodiment
The present invention provides a kind of television content recommended method and system based on customer incident, for make the purpose of the present invention,
Technical solution and effect are clearer, clear, and the present invention is described in more detail below.It should be appreciated that described herein
Specific embodiment is only used to explain the present invention, is not intended to limit the present invention.
Referring to Fig. 1, Fig. 1 is a kind of stream of the television content recommended method preferred embodiment based on customer incident of the present invention
Cheng Tu, as shown, itself comprising steps of
S100, television obtain the customer incident of active user；
S200, the inquiry customer incident whether there is the recommendation plan in the Generalization bounds that server-side pre-establishes
Definition has the corresponding relationship of customer incident and type of recommendation in slightly；
S300, when the customer incident is present in the Generalization bounds that server-side pre-establishes, television is from the clothes
It is engaged in obtaining the corresponding type of recommendation of customer incident in end, and corresponding in the type of recommendation that television shows that server-side defines
Recommendation, definition has the corresponding relationship of type of recommendation and recommendation in the Generalization bounds of server-side.
The S100 step are as follows: the customer incident of television acquisition active user.Further, the television also obtains
User's scene of active user.User's scene refers to but is not limited to TV programme, main interface, Online Video or applies quotient
City etc..The customer incident refers to but is not limited to not listen zapping, residence time length, not stop and start to move, exit application, not rest point
It broadcasts but viewing time is few, do not stop to inquire, do not broadcast piece, do not download application etc..Television i.e. of the present invention obtains active user's first
User's scene and customer incident, for monitoring the manipulation event of user, application and the operation to application that monitoring user enters.
The S200 step are as follows: inquiring the customer incident whether there is in the Generalization bounds that server-side pre-establishes,
Definition has the corresponding relationship of customer incident and type of recommendation in the Generalization bounds.Server-side defines user's scene, customer incident
And the corresponding type of recommendation of customer incident, the corresponding recommendation of type of recommendation；Wherein, the corresponding recommendation of type of recommendation
It can be one or more commending contents items.After server-side defines above-mentioned Generalization bounds, the Generalization bounds are stored.Such as table 1
Shown, definition has the corresponding relationship of user's scene, customer incident, type of recommendation and recommendation in Generalization bounds.The user
Scene includes TV programme, main interface, Online Video and applies store.The customer incident includes not listening zapping, residence time
Long, not stop and start move, exit that application, rest point is not broadcast but viewing time is few, do not stop to inquire, do not broadcast piece and do not download application.It is described to push away
Recommending type includes poster and application installation.Recommendation includes online video program, the high program of audience ratings, entertainment, TOP10
Game, interactive application and multi-screen program.The present invention user's scene, customer incident, type of recommendation and recommendation defined above
It can be set dynamically.The present invention is not limited to Generalization bounds defined above, can specifically be configured according to actual needs.
The S300 step are as follows: when the customer incident is present in the Generalization bounds that server-side pre-establishes, TV
End obtains the corresponding type of recommendation of customer incident from the server-side, and shows the recommendation that server-side defines in television
The corresponding recommendation of type, definition has the corresponding relationship of type of recommendation and recommendation in the Generalization bounds of server-side.
Specifically, as shown in Fig. 2, the S300 step can refine are as follows:
S301, when the customer incident is present in the Generalization bounds that server-side pre-establishes, television is from the clothes
It is engaged in obtaining the corresponding type of recommendation of customer incident in end, then shows whether receive the instruction of the type of recommendation in television；
S302, when television receives the confirmation instruction of the type of recommendation of user, it is corresponding that television obtains type of recommendation
Recommendation data, start and show the corresponding television content of the recommendation data.
In conjunction with shown in table 1, for example, working as, television gets user's scene of active user and customer incident is respectively TV
Program and when not stopping zapping, television can inquire the customer incident and be present in the Generalization bounds that server-side pre-establishes, electricity
The corresponding type of recommendation of the customer incident is obtained from the server-side depending on end, it is as shown in Table 1, described not stop that zapping is corresponding to be pushed away
Recommending type is poster or application installation.After television obtains the poster or application installation type of recommendation, showing in television is
The no instruction for receiving the type of recommendation, user can click corresponding type of recommendation instruction as needed.When television receives
When the confirmation instruction of the type of recommendation of user, television obtains the corresponding recommendation data of type of recommendation, starts and shows institute
State the corresponding television content of recommendation data.For example, television obtains sea after television receives the confirmation instruction of poster
The corresponding recommendation data of report, the recommendation data can be Online Video program data, the high number of programs of audience ratings
According to or entertainment data.After obtaining above-mentioned recommendation data, television starts and shows the Online Video program of recommendation, receives
Depending on the high program of rate or entertainment.For in table 1 other user's scenes and customer incident, the present invention do not go to live in the household of one's in-laws on getting married one by one herein
It states.
Table 1, Generalization bounds
The step S302 is specifically included:
When television receives the confirmation instruction of the type of recommendation of user, television obtains the corresponding recommendation of type of recommendation
Content-data, and data conversion is localized to the recommendation data, start and shows in the recommendation after the conversion
Hold the corresponding television content of data.This is because television can obtain after user confirms the type of recommendation that click television is shown
The corresponding recommendation data of type of recommendation open the corresponding application of recommendation data or television channel.Television channel needs
The television channel of the television channel and user's TV that are defined according to Generalization bounds carries out data exchange, because what Generalization bounds defined
The television channel of television channel and user's TV is inconsistent, needs to inquire carrying out this in user's TV EPG by TV station's title
Groundization conversion, if the content pushed does not show the corresponding poster of the channel without this channel.
Specifically, when the type of recommendation is application installation, the step S300 are as follows:
When the customer incident is present in the Generalization bounds that server-side pre-establishes, television is from the server-side
The installation path of application is obtained, and downloads installation, then starts the application of the installation.The installation path is pre- in Generalization bounds
First define, if server-side it is recommended that application installation, television if the installation path of the application is obtained from server-side automatically,
And installation is downloaded, it automatically opens.
Above scheme through the invention is solved in no big data, is not having large-scale consumer behavior record
The problem of customer incident analysis commending contents in the case where analysis, the very good solution content operation demand of TV.And this
Invention television content recommended method is simple, Yi Shixian, precision operation.
It is based on as above any television content recommended method based on customer incident the present invention also provides a kind of
System, as shown in Figure 3, comprising: obtain module 100, the customer incident of active user is obtained for television；
Enquiry module 200 whether there is in the Generalization bounds that server-side pre-establishes for inquiring the customer incident,
Definition has the corresponding relationship of customer incident and type of recommendation in the Generalization bounds；
Display module 300, for when it is present, television to obtain the corresponding recommendation class of customer incident from the server-side
Type, and the corresponding recommendation of the type of recommendation that server-side defines is shown in television, determine in the Generalization bounds of server-side
Justice has the corresponding relationship of type of recommendation and recommendation.
As shown in figure 4, the display module 300 specifically includes:
Acquisition and display unit 301, for when it is present, it is corresponding that television obtains customer incident from the server-side
Then type of recommendation shows whether receive the instruction of the type of recommendation in television；
Reception and display unit 302, when being instructed for receiving the confirmation of type of recommendation of user when television, television
The corresponding recommendation data of type of recommendation are obtained, starts and shows the corresponding television content of the recommendation data.
The reception and display unit specifically include: for receiving the confirmation instruction of the type of recommendation of user when television
When, television obtains the corresponding recommendation data of type of recommendation, and is localized that data turn to the recommendation data
It changes, start and shows the corresponding television content of recommendation data after the conversion.
The type of recommendation includes poster and application installation.When the type of recommendation is application installation, display module is used
In when the customer incident is present in the Generalization bounds that server-side pre-establishes, television is obtained from the server-side and is answered
Installation path, and installation is downloaded, then start the application of the installation
It has been described in detail in the method for technical detail in front about above-mentioned modular unit, so it will not be repeated.
A kind of television content recommended method and system based on customer incident of the invention, above scheme through the invention,
It solves in no big data, what the television content in the case where analysis of no large-scale consumer behavior record was recommended
Problem, the very good solution content operation demand of TV.And television content recommended method of the present invention is simple, Yi Shixian, precisely
Change operation.
It should be understood that the application of the present invention is not limited to the above for those of ordinary skills can
With improvement or transformation based on the above description, all these modifications and variations all should belong to the guarantor of appended claims of the present invention
Protect range.
Claims (6)
1. a kind of television content recommended method based on customer incident, which is characterized in that comprising steps of
A, television obtains the customer incident of active user；
B, inquiring the customer incident whether there is in the Generalization bounds that server-side pre-establishes, and define in the Generalization bounds
There is the corresponding relationship of customer incident and type of recommendation；
C, when the customer incident is present in the Generalization bounds that server-side pre-establishes, television is obtained from the server-side
The corresponding type of recommendation of customer incident is taken, and in the corresponding recommendation of the type of recommendation that television shows that server-side defines
Hold, definition has the corresponding relationship of type of recommendation and recommendation in the Generalization bounds of server-side；
Customer incident described in step A includes that user's scene is TV programme Shi Buting zapping, main interface residence time length, main boundary
Face not stop and start move, exit application, and rest point does not broadcast that viewing time is few, and user's scene is Online Video when user's scene is Online Video
Piece is not broadcast in Shi Buting inquiry still, and user's scene does not download application when being using store；
The type of recommendation includes poster and application installation；
The corresponding recommendation of the poster includes online video program, the high program of audience ratings, entertainment；
It includes: TOP10 game, interactive application, multi-screen interactive that corresponding recommendation is installed in the application；
When the type of recommendation is application installation, the step C are as follows:
When the customer incident is present in the Generalization bounds that server-side pre-establishes, television is obtained from the server-side
The installation path of application, and installation is downloaded, then start the application of the installation；
The installation path pre-defines in Generalization bounds.
2. the television content recommended method according to claim 1 based on customer incident, which is characterized in that the step C
It specifically includes:
C1, when the customer incident is present in the Generalization bounds that server-side pre-establishes, television is from the server-side
The corresponding type of recommendation of customer incident is obtained, then shows whether receive the instruction of the type of recommendation in television；
C2, when television receives the confirmation instruction of the type of recommendation of user, television obtains the corresponding recommendation of type of recommendation
Content-data starts and shows the corresponding television content of the recommendation data.
3. the television content recommended method according to claim 2 based on customer incident, which is characterized in that the step
C2 is specifically included:
When television receives the confirmation instruction of the type of recommendation of user, television obtains the corresponding recommendation of type of recommendation
Data, and data conversion is localized to the recommendation data, start and shows the recommendation number after the conversion
According to corresponding television content.
4. system of the one kind based on the television content recommended method based on customer incident as described in claim 1 ~ 3 is any,
It is characterized in that, comprising:
Module is obtained, the customer incident of active user is obtained for television；
Enquiry module whether there is in the Generalization bounds that server-side pre-establishes for inquiring the customer incident, described to push away
Recommend the corresponding relationship that definition in strategy has customer incident and type of recommendation；
Display module, for when the customer incident is present in the Generalization bounds that server-side pre-establishes, television is from institute
It states and obtains the corresponding type of recommendation of customer incident in server-side, and show the type of recommendation pair that server-side defines in television
The recommendation answered, definition has the corresponding relationship of type of recommendation and recommendation in the Generalization bounds of server-side；
It is TV programme Shi Buting zapping that obtain customer incident described in module, which include user's scene, the main interface residence time is long,
Main interface not stop and start move, exit application, and rest point does not broadcast that viewing time is few, and user's scene is online when user's scene is Online Video
Do not stop inquiry when video but do not broadcast piece, user's scene does not download application when being using store；
The type of recommendation includes poster and application installation；
The corresponding recommendation of the poster includes online video program, the high program of audience ratings, entertainment；
It includes: TOP10 game, interactive application, multi-screen interactive that corresponding recommendation is installed in the application；
When the type of recommendation is application installation, display module, for being built in advance when the customer incident is present in server-side
When in vertical Generalization bounds, television obtains the installation path of application from the server-side, and downloads installation, and then starting should
The application of installation；
The installation path pre-defines in Generalization bounds.
5. the system for the method that the television content according to claim 4 based on customer incident is recommended, which is characterized in that institute
Display module specifically includes:
It obtains and display unit, for when the customer incident is present in the Generalization bounds that server-side pre-establishes, TV
End obtains the corresponding type of recommendation of customer incident from the server-side, then shows whether receive the recommendation class in television
The instruction of type；
Reception and display unit, when instructing for receiving the confirmation of type of recommendation of user when television, television acquisition is pushed away
The corresponding recommendation data of type are recommended, start and show the corresponding television content of the recommendation data.
6. the system for the method that the television content according to claim 5 based on customer incident is recommended, which is characterized in that institute
It states reception and display unit specifically includes: when the confirmation instruction of the type of recommendation for receiving user when television, television
The corresponding recommendation data of type of recommendation are obtained, and data conversion is localized to the recommendation data, starting is simultaneously
The corresponding television content of recommendation data after showing the conversion.
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| CN108537636A (en) * | 2018-04-08 | 2018-09-14 | 林凡 | Online collaborative filtering commending contents algorithm based on user's dynamic behaviour similitude |
| CN111343490B (en) * | 2020-03-31 | 2022-02-11 | 聚好看科技股份有限公司 | Display device and content recommendation method |
| WO2021197068A1 (en) * | 2020-03-31 | 2021-10-07 | 聚好看科技股份有限公司 | Display device and content recommendation method |
| WO2023246157A1 (en) * | 2022-06-20 | 2023-12-28 | 聚好看科技股份有限公司 | Display device and channel processing method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101615961A (en) * | 2008-06-24 | 2009-12-30 | 华为技术有限公司 | The media content recommendations methods, devices and systems |
| CN103581752A (en) * | 2013-10-16 | 2014-02-12 | 四川长虹电器股份有限公司 | Intelligent set top box program recommendation method based on cloud platform and implement system thereof |
| CN105578292A (en) * | 2014-10-15 | 2016-05-11 | 乐金电子(中国)研究开发中心有限公司 | Recommendation method and system for television program |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101395559A (en) * | 2006-03-01 | 2009-03-25 | Tivo有限公司 | Recommended recording and downloading guides |
| US20080141306A1 (en) * | 2006-12-07 | 2008-06-12 | Telefonaktiebolaget Lm Ericsson (Publ) | Method of sending media program information to a subscriber and nodes therefor |
| CN101183959B (en) * | 2006-12-26 | 2011-05-11 | 腾讯科技（深圳）有限公司 | Digital content recommending method and apparatus |
| CN101621659B (en) * | 2008-07-01 | 2011-01-12 | 上海文广互动电视有限公司 | Generation method of guidance information for interactive TV |
| CN101431485B (en) * | 2008-12-31 | 2012-07-04 | 深圳市迅雷网络技术有限公司 | Method and system for automatically recommending internet information |
-
2016
- 2016-05-26 CN CN201610366957.7A patent/CN105933771B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101615961A (en) * | 2008-06-24 | 2009-12-30 | 华为技术有限公司 | The media content recommendations methods, devices and systems |
| CN103581752A (en) * | 2013-10-16 | 2014-02-12 | 四川长虹电器股份有限公司 | Intelligent set top box program recommendation method based on cloud platform and implement system thereof |
| CN105578292A (en) * | 2014-10-15 | 2016-05-11 | 乐金电子(中国)研究开发中心有限公司 | Recommendation method and system for television program |
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