CN110418202A - TV programme suggesting method, television set and storage medium - Google Patents
TV programme suggesting method, television set and storage medium Download PDFInfo
- Publication number
- CN110418202A CN110418202A CN201810392308.3A CN201810392308A CN110418202A CN 110418202 A CN110418202 A CN 110418202A CN 201810392308 A CN201810392308 A CN 201810392308A CN 110418202 A CN110418202 A CN 110418202A
- Authority
- CN
- China
- Prior art keywords
- television set
- history data
- case history
- television
- video
- 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.)
- Pending
Links
Classifications
-
- 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
- H04N21/41—Structure of client; Structure of client peripherals
- H04N21/426—Internal components of the client ; Characteristics thereof
-
- 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
- H04N21/4667—Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
-
- 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
- H04N21/47—End-user applications
- H04N21/475—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data
- H04N21/4755—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data for defining user preferences, e.g. favourite actors or genre
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Databases & Information Systems (AREA)
- Human Computer Interaction (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
A kind of method of television program recommendations, television set and storage medium, this method comprises: extracting case history data from the historical data of third-party application software；It analyzes the case history data and obtains personal interest map；And movie and television contents are recommended for user according to the media content in the personal interest map combination television set.Implement the present invention, different user accounts can be switched in a television set and log in the third-party application software, establish the personal interest map of different user, realize thousand people, thousand face, the content and service that user likes can more accurately be pushed, improve the viewing experience of user, more users is attracted to pay close attention to tv product.
Description
Technical field
The present invention relates to ntelligent television technolog field more particularly to a kind of TV programme suggesting methods, television set and storage
Medium.
Background technique
With television broadcasting and the development of digital television techniques, viewing TV has become very heavy in people's daily life
The part wanted.Existing smart television can record the viewing history of user on backstage, and according to viewing historical analysis user
Hobby, to user recommend its like TV programme, provide personalized service for user.Film can also be carried out artificial whole
Reason is sorted out or machine automatic clustering is to different special topics, recommends user in the form of special topic.It can also be sentenced by recognition of face
Disconnected age of user, recommends different TV programme according to different age group.
However, more or less there is some problems for the above method.For example, passing through the hobby of viewing historical analysis user
When, it is just able to achieve after needing user to accumulate certain viewing historical data using certain time.For initially using the TV
User can not recommend suitable TV programme for it.When by recommending TV programme according to age of user after recognition of face user,
Need to increase on a television set picture pick-up device, hardware cost is high.
Summary of the invention
In view of the foregoing, it is necessary to a kind of TV programme suggesting method, television set and storage medium are provided, it can basis
User is that user recommends TV programme by the historical record that third-party application software plays media content.
A kind of TV programme suggesting method is applied in television set, this method comprises:
Case history data are extracted from the historical data of third-party application software；
It analyzes the case history data and obtains personal interest map；And
It is that user recommends movie and television contents according to the media content in the personal interest map combination television set.
Further, this method further include:
The historical data of the third-party application software is synchronized from mobile terminal to the television set.
Further, this method further include:
Show the movie and television contents recommended.
Further, this method further include:
Extract the keyword of the case history data；
The case history data are ranked up according to key word frequency of occurrence.
Further, the method that the case history data obtain personal interest map is analyzed are as follows:
Classify to the corresponding affiliated type of video of the case history data；
Temperature is carried out to the Annual distribution of the corresponding video-see of the case history data and frequency distribution according to user
Sequence；
And personal interest map is generated after carrying out correlation analysis to the video after sequence.
Further, described pair sequence after video carry out correlation analysis include: by after sequence video and its with this
Video is ranked up after being multiplied with other videos in theme with a weight coefficient.
It further, is that user recommends movie and television contents according to the media content in the personal interest map combination television set
Method are as follows:
It is ranked up according to the frequency that the keyword of video in the personal interest map occurs；
The corresponding media content of the keyword is inquired in order according to the frequency of the keyword；
User is recommended after successively sorting with the media content of the keyword match.
Further, the media content is stored in the media source library that television set passes through network connection.
A kind of television set, the television set include:
Processor；And
Memory is stored with multiple program modules in the memory, and the multiple program module is added by the processor
It carries and executes TV programme suggesting method as described above.
A kind of storage medium is stored thereon at least one computer instruction, and described instruction is by processor and load and execution
TV programme suggesting method as described above.
Compared to the prior art, the method for television program recommendations provided by the invention, television set and storage medium can incite somebody to action
User is synchronized in television set in mobile terminal by the case history data that third-party application software plays movie and television contents, according to
The case history data establish personal interest map, recommend shadow according to the user that is combined into of the personal interest map and media content
Depending on content.Different user accounts can be switched in a television set and log in the third-party application software, establish different user
Personal interest map realizes thousand people, thousand face.It avoids and data statistics is read according to magnanimity history merely as a result, causing to repeat to recommend
The problem of, and support that scheme is at low cost to identify user without additional hardware.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 is the applied environment figure of the better embodiment of television program recommendation system of the present invention.
Fig. 2 is the functional block diagram of the better embodiment of television program recommendation system of the present invention.
Fig. 3 is the flow chart of the preferred embodiment of TV programme suggesting method of the present invention.
Main element symbol description
Television set 1
Display screen 11
Mobile terminal 2
Network unit 12
Memory 13
Processor 14
Television program recommendation system 10
Synchronization module 101
Extraction module 102
Processing module 103
Recommending module 104
Display module 105
The present invention that the following detailed description will be further explained with reference to the above drawings.
Specific embodiment
To better understand the objects, features and advantages of the present invention, with reference to the accompanying drawing and specific real
Applying example, the present invention will be described in detail.It should be noted that in the absence of conflict, embodiments herein and embodiment
In feature can be combined with each other.
In the following description, numerous specific details are set forth in order to facilitate a full understanding of the present invention, described embodiment is only
It is only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill
Personnel's every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
Unless otherwise defined, all technical and scientific terms used herein and belong to technical field of the invention
The normally understood meaning of technical staff is identical.Term as used herein in the specification of the present invention is intended merely to description tool
The purpose of the embodiment of body, it is not intended that in the limitation present invention.
Referring to FIG. 1, showing the applied environment figure of television program recommendation system 10 in an embodiment of the present invention.The electricity
It is applied in television set 1 depending on program recommendation system 10.The television set 1 is include but are not limited to, display screen 11, network unit 12,
Memory 13 and processor 14.It is electrically connected between above-mentioned each element.It should be appreciated that the present embodiment is only to the television set
1 structure carries out simple illustration, although being not shown, the television set 1 can also include other for realizing 1 function of television set
Other elements, such as circuit system, sound effect system, I/O interface etc..
In the present embodiment, which can have touch function, such as liquid crystal (Liquid Crystal
Display, LCD) display screen or Organic Light Emitting Diode (Organic Light-Emitting Diode, OLED) display screen.
The display screen 11 is used for the content of TV program that display TV machine 1 plays.
The network unit 12 is used to be that the television set 1 provides network communication by wired or wireless network transmission mode
Function.In the present embodiment, the network unit 12 is for the television set 1 to be communicatively coupled with mobile terminal 2.
The cable network can be any type of traditional wire communication, such as internet, local area network.The wireless network can
Think conventional wireless communication any type, such as radio, Wireless Fidelity (Wireless Fidelity, WIFI), honeycomb,
Satellite, broadcast etc..Wireless communication technique may include, but be not limited to, global system for mobile communications (Global System for
Mobile Communications, GSM), General Packet Radio Service (General Packet Radio Service,
GPRS), CDMA (Code Division Multiple Access, CDMA), wideband code division multiple access (W-CDMA),
CDMA2000, IMT single carrier (IMT Single Carrier), enhanced data rates for gsm evolution (Enhanced Data
Rates for GSM Evolution, EDGE), it is Long Term Evolution (Long-Term Evolution, LTE), advanced long-term
Evolution technology, time-division Long Term Evolution (Time-Division LTE, TD-LTE), the 5th third-generation mobile communication technology (5G), height
Performance radio lan (High Performance Radio Local Area Network, HiperLAN), high-performance without
Line electricity wide area network (High Performance Radio Wide Area Network, HiperWAN), local multiple spot distribute industry
Be engaged in (Local Multipoint Distribution Service, LMDS), full micro-wave access global inter communication (Worldwide
Interoperability for Microwave Access, WiMAX), ZigBee protocol (ZigBee), bluetooth, orthogonal frequency division multiplexing
It is empty with technology (Flash Orthogonal Frequency-Division Multiplexing, Flash-OFDM), large capacity
Division multiple access (High Capacity Spatial Division Multiple Access, HC-SDMA), General Mobile electricity
Letter system (Universal Mobile Telecommunications System, UMTS), Universal Mobile Telecommunications System time-division
Duplexing (UMTS Time-Division Duplexing, UMTS-TDD), evolved high-speed packet access (Evolved High
Speed Packet Access, HSPA+), TD SDMA (Time Division Synchronous Code
Division Multiple Access, TD-SCDMA), evolution data optimization (Evolution-Data Optimized,
EV-DO), Digital Enhanced Cordless Communications (Digital Enhanced Cordless Telecommunications, DECT) and
Other.
In the present embodiment, the memory 13 is for storing the software program and data being installed in the television set 1.In
In present embodiment, which can be the internal storage unit of the television set 1, such as the hard disk or interior of the television set 1
It deposits.In other embodiments, the memory 13 includes read-only memory (Read-Only Memory, ROM), random storage
Device (Random Access Memory, RAM), programmable read only memory (Programmable Read-Only Memory,
PROM), Erasable Programmable Read Only Memory EPROM (Erasable Programmable Read-Only Memory, EPROM), one
Secondary programmable read only memory (One-time Programmable Read-Only Memory, OTPROM), electronics erasing type
Can make carbon copies read-only memory (Electrically-Erasable Programmable Read-Only Memory, EEPROM),
CD-ROM (Compact Disc Read-Only Memory, CD-ROM) or other disc memories, magnetic disk storage, magnetic
Tape storage or any other the computer-readable medium that can be used in carrying or storing data.In the present embodiment,
Television program recommendation system 10 is stored in the memory 13.The television program recommendation system 10 can be by user in movement
Terminal 2 is synchronized in television set 1 by the case history data that third-party application software plays movie and television contents, is gone through according to the individual
History data establish personal interest map, recommend movie and television contents according to the user that is combined into of the personal interest map and media content.
In the present embodiment, the processor 14 can be made of integrated circuit, such as can be by the collection of single package
Formed at circuit, be also possible to be made of the integrated circuit that multiple identical functions or different function encapsulate, including one or
The multiple central processing units of person (Central Processing unit, CPU), microprocessor, digital processing chip, graphics process
The combination etc. of device and various control chips.At least one described processor 14 is the control core (Control of the television set 1
Unit), using all parts of various interfaces and the entire television set 1 of connection, described deposit is stored in by running or executing
Program or module in reservoir 13, and the data being stored in the memory 13 are called, to execute the various of television set 1
Function and processing data, such as execute the function of television program recommendations.
As shown in fig.2, the television program recommendation system 10 can be divided into one or more modules, it is one
Or multiple modules are stored in the memory 13, and be configured to one or more processors (the present embodiment be one processing
Device 14) it executes, to complete the present invention.For example, the television program recommendation system 10 is divided into synchronization module 101, extracts mould
Block 102, processing module 103, recommending module 104 and display module 105.The so-called module of the present invention is can to complete a specific function
The program segment of energy is particularly suited for implementation procedure of the description software in television set 1 than program, the detailed functions about each module
It will be described specifically in the flow chart of Fig. 3 later.
The synchronization module 101 is used to the historical data of third-party application software in mobile terminal 2 being synchronized to the electricity
Depending on machine 1.
In the present embodiment, third-party application software is installed in the mobile terminal 2, for example, today's tops, quick worker,
Trill etc..The mobile terminal 2 can recorde the historical data that user plays media content by the third-party application software.
The synchronization module 101 is used to the historical data being synchronized to the television set 1.
It is understood that in the prior art, the third-party application software can encrypt the historical data.
Used Encryption Algorithm include digest algorithm (such as MD5 and SHA1), symmetric encipherment algorithm (such as DES and AES) and it is asymmetric plus
Close algorithm (such as RSA).
The individual that the extraction module 102 is used to extract the user from above-mentioned historical data according to individual subscriber account goes through
History data.
In the present embodiment, different users can log in the third-party application software by oneself personal account,
And the media content oneself liked is played by the third-party application software.Personalization is provided to different users in order to realize
Recommendation information, the extraction module 102 extract the case history of the user according to individual subscriber account from above-mentioned historical data
Data.Specifically, there are also installed third-party application software in the television set 1, user is logged in by personal account and is mounted on institute
The third-party application software in television set 1 is stated, the extraction module 102 is mentioned from above-mentioned historical data according to individual subscriber account
Take the case history data of the user.
The processing module 103 analyzes the case history data and obtains personal interest map.
In the present embodiment, the processing module 103 extracts the keyword of the case history data.The keyword
Including personage, animal, place, time, movement, ownership etc..The processing module 103 can also count what the keyword occurred
Frequency, and the case history data are ranked up according to key word frequency of occurrence.In the present embodiment, described is extracted
The method of people's historical data keyword belongs to the prior art, and details are not described herein.
103 pairs of the processing module case history data progress statistic of classifications extracted after keyword.Specifically,
Including classifying to the corresponding affiliated type of video of the case history data, according to user to the case history data pair
The Annual distribution and frequency distribution that the video answered is watched carry out temperature sequence, and carry out correlation analysis to the video after sequence
Personal interest map is generated afterwards.
In the present embodiment, the date and one when the processing module 103 can also watch the video according to user
The product of weight coefficient is ranked up the case history data.In this way, can be by the video recommendations watched recently to user.
For example, to the same day viewing video multiplied by weight coefficient 1, to the video watched before one day multiplied by weight coefficient 0.8, before two days
The video of viewing is multiplied by weight coefficient 0.6, to the video watched before three days multiplied by weight coefficient 0.5, to the view watched before four days
Frequency is multiplied by weight coefficient 0.4, to the video watched before five days multiplied by weight coefficient 0.3, to the video watched before six days multiplied by power
Weight coefficient 0.2 and to the video watched before earlier multiplied by weight coefficient 0.1.
In the present embodiment, the processing module 103 can also carry out the corresponding video of the case history data
Correlation analysis.The processing module 103 is to the corresponding video of the case history data and its with the video in theme
Other videos are ranked up after being multiplied with a weight coefficient.It is understood that in the present solution, in order to avoid data volume mistake
Greatly, the broadcasting date of the corresponding video of case history data can be limited.For example, limiting the corresponding view of case history data
The broadcasting date of frequency is in a week.
The recommending module 104 is user's recommendation according to the media content in the personal interest map combination television set 1
Movie and television contents.
In the present embodiment, the media content is stored in the central media podium level CMS of television set 1.The media
Content includes text message, image file, video file, the tinkle of bells, audio stream and video flowing etc..The media content can also be deposited
It is stored in media source library of the television set 1 by network connection.
It is ranked up in the processing module 103 according to the frequency that the keyword of video in the personal interest map occurs
Afterwards, the recommending module 104 inquires the corresponding media content of the keyword according to the frequency of the keyword in order, and by institute
It states and recommends user after successively sorting in media content with the media content of the keyword match.
The display module 105 shows the movie and television contents that the recommending module 104 is recommended.
As shown in figure 3, the TV programme suggesting method flow chart of better embodiment of the present invention.It, should according to different demands
The sequence of step can change in flow chart, and certain steps can be omitted or merge.
Step S31, synchronization module 101 for third-party application software in synchronous mobile terminal 2 historical data to described
Television set 1.
In the present embodiment, third-party application software is installed in the mobile terminal 2, for example, today's tops, quick worker,
Trill etc..The mobile terminal 2 can recorde the historical data that user plays media content by the third-party application software.
The synchronization module 101 is used to the historical data being synchronized to the television set 1.
Step S32, the extraction module 102 are used to extract the user from above-mentioned historical data according to individual subscriber account
Case history data.
In the present embodiment, different users can log in the third-party application software by oneself personal account,
And the media content oneself liked is played by the third-party application software.Personalization is provided to different users in order to realize
Recommendation information, the extraction module 102 extract the case history of the user according to individual subscriber account from above-mentioned historical data
Data.
Step S33, the processing module 103 analyze the case history data and obtain personal interest map.
In the present embodiment, the processing module 103 extracts the keyword of the case history data.The processing mould
Block 103 can also count the frequency that the keyword occurs, and according to key word frequency of occurrence to the case history data into
Row sequence.
The processing module 103 can also carry out statistic of classification to the case history data after extraction keyword.Tool
For body, including classify to the corresponding affiliated type of video of the case history data, the individual is gone through according to user
The Annual distribution and frequency distribution that the corresponding video of history data is watched carry out temperature sequence, and carry out phase to the video after sequence
Personal interest map is generated after the analysis of closing property.
Step S34, the recommending module 104 are according to the media content in the personal interest map combination television set 1
User recommends movie and television contents.
In the present embodiment, the media content is stored in the centre media platform layer CMS of television set 1.In the media
Hold includes text message, image file, video file, the tinkle of bells, audio stream and video flowing etc..The media content can also store
In media source library of the television set 1 by network connection.
It is ranked up in the processing module 103 according to the frequency that the keyword of video in the personal interest map occurs
Afterwards, the recommending module 104 inquires the corresponding media content of the keyword according to the frequency of the keyword in order, and by institute
It states and recommends user after successively sorting in media content with the media content of the keyword match.
Step S35, the display module 105 show the movie and television contents that the recommending module 104 is recommended.
By step S31 to step S35, user can be played into video display by third-party application software in mobile terminal 2
The case history data of content are synchronized in television set 1, personal interest map are established according to the case history data, according to this
The user that is combined into of people's interest graph and media content recommends movie and television contents.
In several embodiments provided by the present invention, it should be understood that disclosed systems, devices and methods, it can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the module
It divides, only a kind of logical function partition, there may be another division manner in actual implementation.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case where without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Benefit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent elements of the claims
Variation is included in the present invention.Any reference signs in the claims should not be construed as limiting the involved claims.This
Outside, it is clear that one word of " comprising " is not excluded for other units or, odd number is not excluded for plural number.The multiple units stated in system claims
Or device can also be implemented through software or hardware by a unit or device.The first, the second equal words are used to indicate name
Claim, and does not indicate any particular order.
The above examples are only used to illustrate the technical scheme of the present invention and are not limiting, although referring to the above preferred embodiment pair
The present invention is described in detail, those skilled in the art should understand that, technical solution of the present invention can be carried out
Modification or equivalent replacement should not all be detached from the spirit and scope of technical solution of the present invention.
Claims (10)
1. a kind of TV programme suggesting method is applied in television set, which is characterized in that this method comprises:
Case history data are extracted from the historical data of third-party application software；
It analyzes the case history data and obtains personal interest map；And
It is that user recommends movie and television contents according to the media content in the personal interest map combination television set.
2. TV programme suggesting method as described in claim 1, which is characterized in that this method further include:
It synchronizes and the historical data of the third-party application software in the mobile terminal of television set communication connection to the TV
Machine.
3. TV programme suggesting method as claimed in claim 2, which is characterized in that this method further include:
Show the movie and television contents recommended.
4. TV programme suggesting method as described in claim 1, which is characterized in that this method further include:
Extract the keyword of the case history data；
The case history data are ranked up according to key word frequency of occurrence.
5. TV programme suggesting method as described in claim 1, which is characterized in that analyze the case history data and obtain
The method of people's interest graph are as follows:
Classify to the corresponding affiliated type of video of the case history data；
Temperature sequence is carried out to the Annual distribution of the corresponding video-see of the case history data and frequency distribution according to user；
And personal interest map is generated after carrying out correlation analysis to the video after sequence.
6. TV programme suggesting method as claimed in claim 5, which is characterized in that the video after described pair of sequence carries out related
Property analysis include: after being multiplied with a weight coefficient with other videos in theme by the video after the sequence and its with the video
It is ranked up.
7. TV programme suggesting method as described in claim 1, which is characterized in that combine electricity according to the personal interest map
Regard the method that the media content in machine recommends movie and television contents as user are as follows:
It is ranked up according to the frequency that the keyword of video in the personal interest map occurs；
The corresponding media content of the keyword is inquired in order according to the frequency of the keyword；And
User is recommended after successively sorting with the media content of the keyword match.
8. TV programme suggesting method as claimed in claim 7, which is characterized in that it is logical that the media content is stored in television set
Cross the media source library of network connection.
9. a kind of television set, which is characterized in that the television set includes:
Processor；And
Memory, multiple program modules are stored in the memory, and the multiple program module is loaded simultaneously by the processor
The method for executing the television program recommendations as described in any one of claim 1-8.
10. a kind of storage medium is stored thereon at least one computer instruction, which is characterized in that described instruction is by processor
And the method for television program recommendations of the load and execution as described in any one of claim 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810392308.3A CN110418202A (en) | 2018-04-27 | 2018-04-27 | TV programme suggesting method, television set and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810392308.3A CN110418202A (en) | 2018-04-27 | 2018-04-27 | TV programme suggesting method, television set and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110418202A true CN110418202A (en) | 2019-11-05 |
Family
ID=68346799
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810392308.3A Pending CN110418202A (en) | 2018-04-27 | 2018-04-27 | TV programme suggesting method, television set and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110418202A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112351346A (en) * | 2020-10-29 | 2021-02-09 | 深圳Tcl新技术有限公司 | Multimedia recommendation method and device, equipment, smart television and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1586075A (en) * | 2001-11-13 | 2005-02-23 | 皇家飞利浦电子股份有限公司 | Method and apparatus for partitioning a plurality of items into groups of similar items in a recommender of such items |
| CN103442285A (en) * | 2013-08-21 | 2013-12-11 | 深圳Tcl新技术有限公司 | Program pushing method, smart television, smart phone and background server |
| CN103533390A (en) * | 2012-11-15 | 2014-01-22 | Tcl集团股份有限公司 | Method and system for recommending television programs based on social network information |
| CN104079964A (en) * | 2014-06-30 | 2014-10-01 | 小米科技有限责任公司 | Method and device for transmitting video information |
| CN105915958A (en) * | 2015-12-31 | 2016-08-31 | 乐视致新电子科技（天津）有限公司 | Method, apparatus and system for following program at television end |
| CN106454517A (en) * | 2016-10-25 | 2017-02-22 | 北京小米移动软件有限公司 | TV program push method and apparatus, and terminal device |
| CN106792129A (en) * | 2016-11-15 | 2017-05-31 | 乐视控股（北京）有限公司 | A kind of program commending method, mobile terminal and receiving terminal for digital television |
-
2018
- 2018-04-27 CN CN201810392308.3A patent/CN110418202A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1586075A (en) * | 2001-11-13 | 2005-02-23 | 皇家飞利浦电子股份有限公司 | Method and apparatus for partitioning a plurality of items into groups of similar items in a recommender of such items |
| CN103533390A (en) * | 2012-11-15 | 2014-01-22 | Tcl集团股份有限公司 | Method and system for recommending television programs based on social network information |
| CN103442285A (en) * | 2013-08-21 | 2013-12-11 | 深圳Tcl新技术有限公司 | Program pushing method, smart television, smart phone and background server |
| CN104079964A (en) * | 2014-06-30 | 2014-10-01 | 小米科技有限责任公司 | Method and device for transmitting video information |
| CN105915958A (en) * | 2015-12-31 | 2016-08-31 | 乐视致新电子科技（天津）有限公司 | Method, apparatus and system for following program at television end |
| CN106454517A (en) * | 2016-10-25 | 2017-02-22 | 北京小米移动软件有限公司 | TV program push method and apparatus, and terminal device |
| CN106792129A (en) * | 2016-11-15 | 2017-05-31 | 乐视控股（北京）有限公司 | A kind of program commending method, mobile terminal and receiving terminal for digital television |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112351346A (en) * | 2020-10-29 | 2021-02-09 | 深圳Tcl新技术有限公司 | Multimedia recommendation method and device, equipment, smart television and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10341701B2 (en) | Clustering and adjudication to determine a recommendation of multimedia content | |
| US11409792B2 (en) | System and method for streaming individualized media content | |
| CN105900438B (en) | System and method for optimizing the defragmentation of content in content delivery network | |
| CN103052954B (en) | Commending system is retrieved based on profile content | |
| US20170052999A1 (en) | Method and device for processing resources | |
| US9100701B2 (en) | Enhanced video systems and methods | |
| US9503496B2 (en) | System and method for a media content reconciler | |
| CN111368141B (en) | Video tag expansion method, device, computer equipment and storage medium | |
| KR20180030885A (en) | System and method for dividing search indexes for improved efficiency in identifying media segments | |
| CN112989076A (en) | Multimedia content searching method, apparatus, device and medium | |
| CN111680254B (en) | Content recommendation method and device | |
| CN109429103B (en) | Method and device for recommending information, computer readable storage medium and terminal equipment | |
| WO2010141260A1 (en) | System and method for processing commentary that is related to content | |
| US20150100582A1 (en) | Association of topic labels with digital content | |
| US20150066897A1 (en) | Systems and methods for conveying passive interest classified media content | |
| EP3690674A1 (en) | Method for recommending video content | |
| Jeong et al. | Ontology-based automatic video annotation technique in smart TV environment | |
| CN109511015A (en) | Multimedia resource recommended method, device, storage medium and equipment | |
| CN101075233B (en) | Member, system and method for collecting multi-medium content | |
| CN108476344A (en) | The content selection of networked media device | |
| CN110290199A (en) | Content delivery method, device and equipment | |
| CN101540767A (en) | Server, digital television receiving terminal and program information display system and method | |
| CN109005461A (en) | A kind of recommended method of the video object, device and equipment/terminal/server | |
| CN103220587B (en) | A kind of method and device obtaining time-shifted contents | |
| US20120254307A1 (en) | Method and apparatus for providing time machine service based on social network service |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20191105 |
|
| WD01 | Invention patent application deemed withdrawn after publication |