CN106713950A - Video service system based on prediction and analysis of user behaviors - Google Patents
Video service system based on prediction and analysis of user behaviors Download PDFInfo
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- CN106713950A CN106713950A CN201710021246.0A CN201710021246A CN106713950A CN 106713950 A CN106713950 A CN 106713950A CN 201710021246 A CN201710021246 A CN 201710021246A CN 106713950 A CN106713950 A CN 106713950A
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- video
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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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25891—Management of end-user data being end-user preferences
-
- 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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/251—Learning process for intelligent management, e.g. learning user preferences for recommending 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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/254—Management at additional data server, e.g. shopping server, rights management server
- H04N21/2541—Rights Management
-
- 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
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- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Computer Graphics (AREA)
- Computer Security & Cryptography (AREA)
- Computing Systems (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The invention discloses a video service system based on prediction and analysis of user behaviors. The video service system comprises an enterprise management terminal, a user client and a database server; the enterprise management terminal comprises an enterprise member login module, a video database establishment module and a video classification module, the user client comprises an information browsing recording module, a data analysis module and a video push module, the database server is used for receiving video program information sent by the video classification module, the database server is further used for matching video program information corresponding to a user behavior log matched with the user behavior log and pushing the video program information to the video push module, and the video push module is used for displaying the received video program information for the clicking and viewing of users. The video service system disclosed by the invention has the advantages of saving the energy and time of users, and ensuring high efficiency, etc.
Description
Technical field
It is specifically a kind of to be taken based on the video that user's behavior prediction is analyzed the present invention relates to video push technical field
Business system.
Background technology
Internet, is be concatenated between network and network huge also known as Internet or transliteration internet, internet
Network, these networks are connected with one group of general agreement, form single huge international network in logic, this by computer network
The method that network is linked together mutually can be referred to as " network interconnection ", and the global global interconnection of covering is developed on the basis of this
Network claims " internet ", is " interconnecting network together ", and internet is not equal to WWW, and WWW is to build base
In the global system that hypertext interlinks, and it is one of service that internet can be provided, individually lifts mutually
Networking, typically all internet or access certain network therein, net or network are referred to as sometimes can be communicated, social, net
Upper trade.
With the continuous progress in epoch, the carrier of new media has gradually turned to intelligent mobile terminal, Ren Menhui by PC ends
Browse news information, video information etc. anywhere or anytime by intelligent mobile terminal, wherein, carry out video-see in people
When, the current main mode of existing video service system is, user is by being input into keyword or by video library one page one
The video frequency program seen is liked in the searching of page, therefore aforesaid way has the defect of inefficiency, or even often occurs using pass
Keyword searches for the defect less than video program information, and Consumer's Experience comfort level is poor, it is necessary to be improved.
The content of the invention
It is of the prior art poor using inconvenience, inefficiency, Consumer's Experience comfort level the invention aims to solve
Defect, there is provided a kind of video service system based on user's behavior prediction analysis solves the above problems.
To achieve these goals, technical scheme is as follows：It is pre- based on user behavior the invention discloses one kind
Survey the video service system of analysis, including business administration end, subscription client, database server；
Described business administration end is arranged at enterprise terminal, and described business administration end includes corporate member's login module, video
Module, visual classification module are set up in storehouse, and described corporate member's login module is used for enterprises registration member account and passes through member
Account is logged in, and described video library sets up module and issues video program information after member logins successfully for enterprise, depending on
Frequency storehouse sets up module and again sends to visual classification module video program information, and described visual classification module is used for video section
Mesh information is classified, and is stored after classification, and visual classification module is again sent to database clothes sorted programme information
Business device；
Described subscription client is arranged at user terminal, and described subscription client includes information browse logging modle, data
Analysis module, video push module, described information browse logging modle are used to record the historical viewings information and interest of user
Taste data information is simultaneously sent to data analysis module, described data analysis module be used for the historical viewings information of user and
Hobby data message carries out data analysis, forms User action log, and User action log is sent to database clothes
Business device, described video push module is used to receive the video program information of database server push and show to supply user
Click on viewing；
Described database server is used to receive the video program information of visual classification module transmission, described database service
Device is additionally operable to match corresponding with User action log video program information according to User action log, and by video program information
Video push module is pushed to, the video program information that video push module will be received to show and click on viewing for user.
Preferably, described subscription client also includes video library application module, database server is additionally operable to institute
Some video program informations are sent to video library application module, are shown to be clicked on for user by Video Applications module and checked.
Preferably, the described enterprise terminal for setting business administration end is PC ends.
Preferably, described uses intelligent mobile terminal for setting the user terminal of subscription client.
Preferably, described intelligent mobile terminal uses smart mobile phone.
The present invention has advantages below compared to existing technology：
Video service system based on user's behavior prediction analysis of the present invention, by the historical viewings information to user and
Hobby data message carries out data analysis, forms User action log, and then the user behaviors log matching according to user is corresponding
Video program information, and video program information be pushed to user carry out click and check, therefore in hgher efficiency, be more directed to
Property, the experience comfort level of user is higher.
Brief description of the drawings
Fig. 1 is a kind of system block diagram of the video service system based on user's behavior prediction analysis of the present invention.
Reference is：1- business administrations end；2- subscription clients；3- database servers；11- corporate members log in mould
Block；12- video libraries set up module；13- visual classification modules；21- information browse logging modles；22- data analysis modules；23-
Video push module；24- video library application modules.
Specific embodiment
As shown in figure 1, the invention discloses a kind of video service system based on user's behavior prediction analysis, including enterprise
Management end 1, subscription client 2, database server 3；
Described business administration end 1 is arranged at enterprise terminal, described business administration end 1 include corporate member's login module 11,
Video library sets up module 12, visual classification module 13, and described corporate member's login module 11 is used for enterprises registration member account
And logged in by member account, described video library sets up module 12 and issues video after member logins successfully for enterprise
Programme information, video library sets up module 12 and again sends to visual classification module 13, described visual classification video program information
Module 13 is used to classify video program information, is stored after classification, and visual classification module 13 is again by sorted section
Mesh information is sent to database server 3；
Described subscription client 2 is arranged at user terminal, described subscription client 2 include information browse logging modle 21,
Data analysis module 22, video push module 23, described information browse logging modle 21 are used to record the historical viewings of user
, to data analysis module 22, described data analysis module 22 is used for user's for information and hobby data message and transmission
Historical viewings information and hobby data message carry out data analysis, form User action log, and by User action log
Send to database server 3, described video push module 23 is used to receive the video frequency program letter of the push of database server 3
Cease and show and click on viewing for user；
Described database server 3 is used to receive the video program information of the transmission of visual classification module 13, described database
Server 3 is additionally operable to match corresponding with User action log video program information according to User action log, and by video section
Mesh information pushing to video push module 23, the video program information that video push module 23 will be received shows and supplies user
Click on viewing.
Preferably, described subscription client 2 also includes video library application module 24, database server 3 is additionally operable to
All of video program information is sent to video library application module 24, is shown by Video Applications module 24 and clicked on for user
Check.
Preferably, the described enterprise terminal for setting business administration end 1 is PC ends.
Preferably, described uses intelligent mobile terminal for setting the user terminal of subscription client 2.
Preferably, described intelligent mobile terminal uses smart mobile phone.
The present invention is implemented：Enterprise administrator is by the registered members' account of corporate member's login module 11 and leads to
Cross member account to be logged in, after member account is logined successfully, enterprise administrator is set up the issue of module 12 and regarded by video library
Frequency programme information, video library sets up module 12 and again sends to visual classification module 13, visual classification module video program information
13 pairs of video program informations are classified, and are stored after classification, and visual classification module 13 again sends out sorted programme information
Database server 3 is delivered to, database server 3 is stored to sorted programme information, information browse logging modle 21
Historical viewings information and hobby data message to user are recorded, and are sent after record to data analysis module 22, number
Data analysis is carried out to the historical viewings information and hobby data message of user according to analysis module 22, user behavior day is formed
Will, and User action log is sent to database server 3, database server 3 is matched and used according to User action log
The corresponding video program information of family user behaviors log, and video program information is pushed into video push module 23, video push mould
The video program information that block 23 will be received to show and click on viewing for user, therefore the present invention realizes going through according to user
History browses custom and hobby data and carries out data analysis, then matches corresponding video program information, therefore with being directed to
Property, the very big time and efforts for saving user, efficiency is greatly improved, and the comfort level of Consumer's Experience is relatively good, in addition
By setting video library application module 24, database server 3 can be sent to video library application all of video program information
Module 24, is shown to be clicked on for user and checked, people oneself can also pass through Video Applications module by Video Applications module 24
24 carry out oneself active retrieval checks, therefore effect is relatively good, using more convenient.
General principle of the invention, principal character and advantages of the present invention has been shown and described above.The technology of the industry
Personnel it should be appreciated that the present invention is not limited to the above embodiments, the simply present invention described in above-described embodiment and specification
Principle, various changes and modifications of the present invention are possible without departing from the spirit and scope of the present invention, these change and
Improvement is both fallen within the range of claimed invention.The protection domain of application claims by appending claims and its
Equivalent is defined.
Claims (5)
1. it is a kind of based on user's behavior prediction analysis video service system, it is characterised in that：Including business administration end, Yong Huke
Family end, database server；
Described business administration end is arranged at enterprise terminal, and described business administration end includes corporate member's login module, video
Module, visual classification module are set up in storehouse, and described corporate member's login module is used for enterprises registration member account and passes through member
Account is logged in, and described video library sets up module and issues video program information after member logins successfully for enterprise, depending on
Frequency storehouse sets up module and again sends to visual classification module video program information, and described visual classification module is used for video section
Mesh information is classified, and is stored after classification, and visual classification module is again sent to database clothes sorted programme information
Business device；
Described subscription client is arranged at user terminal, and described subscription client includes information browse logging modle, data
Analysis module, video push module, described information browse logging modle are used to record the historical viewings information and interest of user
Taste data information is simultaneously sent to data analysis module, described data analysis module be used for the historical viewings information of user and
Hobby data message carries out data analysis, forms User action log, and User action log is sent to database clothes
Business device, described video push module is used to receive the video program information of database server push and show to supply user
Click on viewing；
Described database server is used to receive the video program information of visual classification module transmission, described database service
Device is additionally operable to match corresponding with User action log video program information according to User action log, and by video program information
Video push module is pushed to, the video program information that video push module will be received to show and click on viewing for user.
2. it is according to claim 1 it is a kind of based on user's behavior prediction analysis video service system, it is characterised in that：Institute
The subscription client stated also includes video library application module, and database server is additionally operable to send all of video program information
To video library application module, shown to be clicked on for user by Video Applications module and checked.
3. it is according to claim 1 it is a kind of based on user's behavior prediction analysis video service system, it is characterised in that：Institute
The enterprise terminal for setting business administration end stated is PC ends.
4. it is according to claim 1 it is a kind of based on user's behavior prediction analysis video service system, it is characterised in that：Institute
That states uses intelligent mobile terminal for setting the user terminal of subscription client.
5. it is according to claim 4 it is a kind of based on user's behavior prediction analysis video service system, it is characterised in that：Institute
The intelligent mobile terminal stated uses smart mobile phone.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710021246.0A CN106713950A (en) | 2017-01-12 | 2017-01-12 | Video service system based on prediction and analysis of user behaviors |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710021246.0A CN106713950A (en) | 2017-01-12 | 2017-01-12 | Video service system based on prediction and analysis of user behaviors |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106713950A true CN106713950A (en) | 2017-05-24 |
Family
ID=58908206
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| CN201710021246.0A Pending CN106713950A (en) | 2017-01-12 | 2017-01-12 | Video service system based on prediction and analysis of user behaviors |
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Cited By (6)
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| CN108347626A (en) * | 2018-03-06 | 2018-07-31 | 深圳春沐源控股有限公司 | A kind of method and system of plantation video push |
| CN109348142A (en) * | 2018-08-03 | 2019-02-15 | 徐州迈步网络科技有限公司 | A kind of comprehensive study service system |
| CN110392283A (en) * | 2019-07-05 | 2019-10-29 | 深圳市九洲电器有限公司 | A kind of program distribution method, apparatus, server and storage medium |
| CN110598043A (en) * | 2019-09-24 | 2019-12-20 | 腾讯科技（深圳）有限公司 | Video processing method and device, computer equipment and storage medium |
| CN112492355A (en) * | 2020-11-25 | 2021-03-12 | 北京字跳网络技术有限公司 | Method, device and equipment for publishing and replying multimedia content |
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Application publication date: 20170524 |