CN109348294A - The TV operation system and method at customized user interface - Google Patents
The TV operation system and method at customized user interface Download PDFInfo
- Publication number
- CN109348294A CN109348294A CN201811285870.2A CN201811285870A CN109348294A CN 109348294 A CN109348294 A CN 109348294A CN 201811285870 A CN201811285870 A CN 201811285870A CN 109348294 A CN109348294 A CN 109348294A
- Authority
- CN
- China
- Prior art keywords
- user interface
- information
- user
- behavioural information
- module
- 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
- H04N21/43—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
- H04N21/44218—Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program
-
- 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
- H04N21/485—End-user interface for client configuration
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Social Psychology (AREA)
- Human Computer Interaction (AREA)
- Computer Networks & Wireless Communication (AREA)
- Databases & Information Systems (AREA)
- User Interface Of Digital Computer (AREA)
Abstract
The present invention relates to field of television, aiming at the problem that existing TV operation system cannot provide personalized customization user interface, it is proposed a kind of TV operation system at customized user interface, including user behavior acquisition module, user behavior analysis module, user interface operation management module and display module, user behavior acquisition module, for acquiring the behavioural information of user；User behavior analysis module, for carrying out data analysis according to collected behavioural information；User interface operation management module, the result for being analyzed according to data generate corresponding user interface data；Display module so realizes for carrying out the display of user interface according to user interface data and more accurately divides user and provide accurately personalized service, the user experience is improved, and the present invention is suitable for the customization service of TV user interface.
Description
Technical field
The present invention relates to field of television, in particular to a kind of TV operation system and method.
Background technique
Internet television has been popularized, and is no longer only to provide traditional family of sex service of product relative to traditional tv
Electricity, but being transformed into can continue to provide the internet television of service, the operation of internet television is particularly important.User interface is made
For the portal of internet television, main positions are occupied in the operation of internet television, user interface becomes main operation
Means.The content keypoint of existing television user interface is its rich and varied property, and personalized service is not provided for user.
Summary of the invention
The technical problems to be solved by the present invention are: overcoming existing TV operation system that cannot provide personalized customization use
The problem of family interface, proposes the TV operation system and method at a kind of customized user interface.
The present invention solves above-mentioned technical problem, the technical solution adopted is that:
The TV operation system at customized user interface, including user behavior acquisition module, user behavior analysis module, user
Interface operation management module and display module,
User behavior acquisition module, for acquiring the behavioural information of user；
User behavior analysis module, for carrying out data analysis according to collected behavioural information；
User interface operation management module, the result for being analyzed according to data generate corresponding user interface data；
Display module, for carrying out the display of user interface according to user interface data.
Preferably, the behavioural information includes that user watches the programme information of program, the viewing time of corresponding program and right
Answer the comment information of program.
Preferably, described to carry out data to analyze including: according to collected behavioural information according to collected behavioural information
Carry out the prediction of user behavior and the judgement of user preferences.
Preferably, the user interface data includes content portals information, pictorial information, colouring information and layout information.
Further, the user behavior analysis module includes storage unit, and the storage unit is collected for storing
Behavioural information.
The TV method for running at customized user interface, includes the following steps:
Acquire the behavioural information of user；
Data analysis is carried out according to collected behavioural information；
Corresponding user interface data is generated according to the result of data analysis；
The display of user interface is carried out according to user interface data.
Preferably, the behavioural information includes that user watches the programme information of program, the viewing time of corresponding program and right
Answer the comment information of program.
Preferably, described to carry out data to analyze including: according to collected behavioural information according to collected behavioural information
Carry out the prediction of user behavior and the judgement of user preferences.
Preferably, the user interface data includes content portals information, pictorial information, colouring information and layout information.
Further, before the progress data analysis according to collected behavioural information further include: storage is collected
Behavioural information.
The beneficial effects of the present invention are:
Data analysis is carried out according to collected behavioural information, corresponding user interface is generated according to the result of data analysis
Data carry out the display at interface, so realize and more accurately divide user and provide accurately personalized service, improve use
Family experience enhances the viscosity of user, and then promotes the user volume of TV and the sales volume of TV.
Detailed description of the invention
Fig. 1 is the system block diagram of the embodiment of the present invention；
Fig. 2 is the method flow diagram of the embodiment of the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, it below in conjunction with attached drawing and is implemented as follows
The present invention will be described in further detail for example.
As shown in Figure 1, the TV operation system at customized user interface, including user behavior acquisition module, user behavior point
Module, user interface operation management module and display module are analysed,
User behavior acquisition module, for acquiring the behavioural information of user；
User behavior analysis module, for carrying out data analysis according to collected behavioural information；
User interface operation management module, the result for being analyzed according to data generate corresponding user interface data；
Display module, for carrying out the display of user interface according to user interface data.
Wherein, above-mentioned user behavior acquisition module can be realized in television；User behavior analysis module can be located at cloud service
Device end；User interface operation management module can be used mainstream web application server to realize and optimize for concurrently doing greatly, such as
Tomcat application server adds redis Clustering；Display module can be located at television, and android system can be used in television,
The mode of customized development can be used in launcher (android system desktop starter).
Above-mentioned behavioural information may include the viewing time and corresponding program that user watches the programme information of program, corresponding program
Comment information.
It is above-mentioned that data analysis is carried out according to collected behavioural information can include: to be used according to collected behavioural information
The prediction of the prediction of family behavior and the judgement of user preferences, user behavior can be used but be not limited to the deep learning frame of mainstream
It realizes, such as TensorFlow frame.
Above-mentioned user interface data may include content portals information, pictorial information, colouring information and layout information.
Above-mentioned user behavior analysis module may include the storage unit for storing collected behavioural information, storage unit
Mainstream big data acquisition memory technology can be used to realize, such as hadoop technology.
As shown in Fig. 2, the TV method for running at customized user interface, includes the following steps:
Acquire the behavioural information of user；
Data analysis is carried out according to collected behavioural information；
Corresponding user interface data is generated according to the result of data analysis；
The display of user interface is carried out according to user interface data.
Wherein, the behavioural information for acquiring user can be realized in television；It can be in cloud server end according to collected behavior
Information carries out data analysis；Mainstream web application server can be used to realize and generate corresponding use according to the result of data analysis
Family interface data, and optimize for concurrently doing greatly, as tomcat application server adds redis Clustering；It can be in television root
The display of user interface is carried out according to user interface data, android system, launcher (android system can be used in television
Desktop starter) mode of customized development can be used.
Above-mentioned behavioural information may include the viewing time and corresponding program that user watches the programme information of program, corresponding program
Comment information.
It is above-mentioned that data analysis is carried out according to collected behavioural information can include: to be used according to collected behavioural information
The prediction of the prediction of family behavior and the judgement of user preferences, user behavior can be used but be not limited to the deep learning frame of mainstream
It realizes, such as TensorFlow frame.
Above-mentioned user interface data may include content portals information, pictorial information, colouring information and layout information.
It is carried out may also include that the collected behavioural information of storage before data analysis according to collected behavioural information.It can
Memory technology is acquired using mainstream big data to realize the storage of above-mentioned behavioural information, such as hadoop technology.
Claims (10)
1. the TV operation system at customized user interface, which is characterized in that including user behavior acquisition module, user behavior analysis
Module, user interface operation management module and display module,
User behavior acquisition module, for acquiring the behavioural information of user；
User behavior analysis module, for carrying out data analysis according to collected behavioural information；
User interface operation management module, the result for being analyzed according to data generate corresponding user interface data；
Display module, for carrying out the display of user interface according to user interface data.
2. the TV operation system at customized user interface as described in claim 1, which is characterized in that the behavioural information includes
User watches the comment information of the programme information of program, the viewing time of corresponding program and corresponding program.
3. the TV operation system at customized user interface as described in claim 1, which is characterized in that described according to collected
It includes: to carry out the prediction of user behavior and sentencing for user preferences according to collected behavioural information that behavioural information, which carries out data analysis,
It is disconnected.
4. the TV operation system at the customized user interface as described in right will require 1, which is characterized in that the user interface number
According to including content portals information, pictorial information, colouring information and layout information.
5. the TV operation system at the customized user interface as described in right will require 1, which is characterized in that the user behavior point
Analysing module includes storage unit, and the storage unit is for storing collected behavioural information.
6. the TV method for running at customized user interface, which comprises the steps of:
Acquire the behavioural information of user；
Data analysis is carried out according to collected behavioural information；
Corresponding user interface data is generated according to the result of data analysis；
The display of user interface is carried out according to user interface data.
7. the TV method for running at customized user interface as claimed in claim 6, which is characterized in that the behavioural information includes
User watches the comment information of the programme information of program, the viewing time of corresponding program and corresponding program.
8. the TV method for running at customized user interface as claimed in claim 6, which is characterized in that described according to collected
It includes: to carry out the prediction of user behavior and sentencing for user preferences according to collected behavioural information that behavioural information, which carries out data analysis,
It is disconnected.
9. the TV method for running at customized user interface as claimed in claim 6, which is characterized in that the user interface data
Including content portals information, pictorial information, colouring information and layout information.
10. the TV method for running at customized user interface as claimed in claim 6, which is characterized in that the basis collects
Behavioural information carry out data analysis before further include: store collected behavioural information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811285870.2A CN109348294A (en) | 2018-10-31 | 2018-10-31 | The TV operation system and method at customized user interface |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811285870.2A CN109348294A (en) | 2018-10-31 | 2018-10-31 | The TV operation system and method at customized user interface |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109348294A true CN109348294A (en) | 2019-02-15 |
Family
ID=65313256
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811285870.2A Pending CN109348294A (en) | 2018-10-31 | 2018-10-31 | The TV operation system and method at customized user interface |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109348294A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110018869A (en) * | 2019-02-20 | 2019-07-16 | 阿里巴巴集团控股有限公司 | By intensified learning to the method and device of user's displayed page |
| CN110795199A (en) * | 2020-01-06 | 2020-02-14 | 南京创维信息技术研究院有限公司 | Intelligent homepage layout method and system based on user behavior data |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102802050A (en) * | 2012-08-24 | 2012-11-28 | 青岛海信电器股份有限公司 | Television program recommendation method and system |
| CN104504059A (en) * | 2014-12-22 | 2015-04-08 | 合一网络技术(北京)有限公司 | Multimedia resource recommending method |
| CN105959749A (en) * | 2016-04-28 | 2016-09-21 | 乐视控股（北京）有限公司 | Intelligent terminal, remote controller and recommending method and system |
| CN105960640A (en) * | 2014-02-04 | 2016-09-21 | 谷歌公司 | Adaptive music and video recommendations |
| CN107222762A (en) * | 2017-04-24 | 2017-09-29 | 乐视控股（北京）有限公司 | A kind of method and apparatus of recommendation of the channels |
| CN107547916A (en) * | 2016-06-27 | 2018-01-05 | 中兴通讯股份有限公司 | Playlist recommends method and device |
| CN107748759A (en) * | 2017-09-21 | 2018-03-02 | 广州华多网络科技有限公司 | Video pushing method and its equipment |
| CN108460060A (en) * | 2017-02-22 | 2018-08-28 | 合网络技术（北京）有限公司 | Video recommendation method and device |
-
2018
- 2018-10-31 CN CN201811285870.2A patent/CN109348294A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102802050A (en) * | 2012-08-24 | 2012-11-28 | 青岛海信电器股份有限公司 | Television program recommendation method and system |
| CN105960640A (en) * | 2014-02-04 | 2016-09-21 | 谷歌公司 | Adaptive music and video recommendations |
| CN104504059A (en) * | 2014-12-22 | 2015-04-08 | 合一网络技术(北京)有限公司 | Multimedia resource recommending method |
| CN105959749A (en) * | 2016-04-28 | 2016-09-21 | 乐视控股（北京）有限公司 | Intelligent terminal, remote controller and recommending method and system |
| CN107547916A (en) * | 2016-06-27 | 2018-01-05 | 中兴通讯股份有限公司 | Playlist recommends method and device |
| CN108460060A (en) * | 2017-02-22 | 2018-08-28 | 合网络技术（北京）有限公司 | Video recommendation method and device |
| CN107222762A (en) * | 2017-04-24 | 2017-09-29 | 乐视控股（北京）有限公司 | A kind of method and apparatus of recommendation of the channels |
| CN107748759A (en) * | 2017-09-21 | 2018-03-02 | 广州华多网络科技有限公司 | Video pushing method and its equipment |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110018869A (en) * | 2019-02-20 | 2019-07-16 | 阿里巴巴集团控股有限公司 | By intensified learning to the method and device of user's displayed page |
| CN110795199A (en) * | 2020-01-06 | 2020-02-14 | 南京创维信息技术研究院有限公司 | Intelligent homepage layout method and system based on user behavior data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106649780B (en) | Information providing method and device based on artificial intelligence | |
| Jansen et al. | Handbook of research on web log analysis | |
| US20210097089A1 (en) | Knowledge graph building method, electronic apparatus and non-transitory computer readable storage medium | |
| CN103914550B (en) | Show the method and apparatus of content recommendation | |
| US10902077B2 (en) | Search result aggregation method and apparatus based on artificial intelligence and search engine | |
| CN110225373A (en) | A kind of video reviewing method, device and electronic equipment | |
| US10803104B2 (en) | Digital credential field mapping | |
| CN109033149A (en) | Information recommendation method, device, server and storage medium | |
| CN106649316A (en) | Video pushing method and device | |
| CN109511015B (en) | Multimedia resource recommendation method, device, storage medium and equipment | |
| CN107918618B (en) | Data processing method and device | |
| EP4083857A1 (en) | Information prediction model training method and apparatus, information prediction method and apparatus, storage medium, and device | |
| CN102915380A (en) | Method and system for carrying out searching on data | |
| CN105677927A (en) | Method and device for providing searching result | |
| CN105844107B (en) | Data processing method and device | |
| CN110598095B (en) | Method, device and storage medium for identifying article containing specified information | |
| CN111177523A (en) | Webpage recommendation method and device, electronic equipment and computer readable medium | |
| CN111967970B (en) | Bank product recommendation method and device based on spark platform | |
| CN109348294A (en) | The TV operation system and method at customized user interface | |
| US20160379270A1 (en) | Systems and methods for customized internet searching and advertising | |
| CN110309414A (en) | Content recommendation method, content recommendation device and electronic equipment | |
| CN105117482A (en) | Method and device for achieving website navigation | |
| US20160188556A1 (en) | Adaptive electronic document | |
| US9916298B2 (en) | Management of content tailoring by services | |
| CN110019018A (en) | File recommended method and file recommendation apparatus |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190215 |
|
| RJ01 | Rejection of invention patent application after publication |