CN105407385A - Video recommendation method and system - Google Patents

Video recommendation method and system Download PDF

Info

Publication number
CN105407385A
CN105407385A CN201510719014.3A CN201510719014A CN105407385A CN 105407385 A CN105407385 A CN 105407385A CN 201510719014 A CN201510719014 A CN 201510719014A CN 105407385 A CN105407385 A CN 105407385A
Authority
CN
China
Prior art keywords
video
user
hobby
entrance
recommendations
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
Application number
CN201510719014.3A
Other languages
Chinese (zh)
Inventor
周斌
李勇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guilin Tryin Technology Co Ltd
Original Assignee
Guilin Tryin Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Guilin Tryin Technology Co Ltd filed Critical Guilin Tryin Technology Co Ltd
Priority to CN201510719014.3A priority Critical patent/CN105407385A/en
Publication of CN105407385A publication Critical patent/CN105407385A/en
Pending legal-status Critical Current

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47End-user applications
    • H04N21/475End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data
    • H04N21/4755End-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
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47End-user applications
    • H04N21/472End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content
    • H04N21/4722End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content for requesting additional data associated with the content
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47End-user applications
    • H04N21/482End-user interface for program selection
    • H04N21/4826End-user interface for program selection using recommendation lists, e.g. of programs or channels sorted out according to their score

Landscapes

  • Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Software Systems (AREA)
  • Databases & Information Systems (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)

Abstract

The invention discloses a video recommendation method and a system. The video recommendation method comprises steps: a user operation record is collected, wherein the operation record comprises frequencies of the user to add unwatched video to a favorite or a bookmark or the user to click on video of a certain type; according to the user operation record, interests and hobbies of the user are analyzed; a video recommendation portal for enabling the user to enter through clicking is generated on a display interface of video client software; and through the video recommendation portal, the user enters a video playing channel matched with the interests and the hobbies of the user from a video server. Through the method provided by the invention, video which interests the user can be recommended to the user conveniently.

Description

A kind of video recommendation method and system
Technical field
The present invention relates to video recommendations technical field, be specifically related to a kind of video recommendation method and system.
Background technology
Current existing video recommendation method is the video classification that user initiatively selects to like, and then system selects according to user the video recommending identical category.
This method recommends the interested video of user according to the application of user, and video server initiatively can not recommend video to user.
Summary of the invention
Technical problem to be solved by this invention is to provide a kind of video recommendation method and system, can recommend the interested video of user easily to user.
The technical scheme that the present invention solves the problems of the technologies described above is as follows:
According to one aspect of the present invention, provide a kind of video recommendation method, comprising:
Collect user operation records, described operation note comprises user and adds and do not watch video clicks a certain category video frequency to collection or bookmark and user;
According to the operation note of user, analyze the hobby of user;
The display interface of videoconference client software generates user and can click the video recommendations entrance entered;
By video recommendations entrance, enter from video server the video playback channel liked with user interest and mate.
According to another aspect of the present invention, provide a kind of video recommendation system, comprising:
Collection module, for collecting user operation records, described operation note comprises user and adds and do not watch video clicks a certain category video frequency to collection or bookmark and user;
Interest analysis module, for the operation note according to user, analyzes the hobby of user;
Recommend portal generation module, on the display interface at videoconference client software, generate user can click the video recommendations entrance entered;
Broadcasting channel enters module, for by video recommendations entrance, enters from video server the video playback channel liked with user interest and mate.
A kind of video recommendation method provided by the invention and system, according to the user operation records collected, analyze the hobby of user, and generating video recommends entrance on the display interface of videoconference client software, and the video recommendations entrance by generating, the video playback channel liked with user interest and mate is entered from video server, can according to the hobby of user easily for user recommends the interested video of user.
Accompanying drawing explanation
Fig. 1 is a kind of video recommendation method flow chart of the embodiment of the present invention one;
Fig. 2 is a kind of video recommendation system schematic diagram of the embodiment of the present invention two.
Embodiment
Be described principle of the present invention and feature below in conjunction with accompanying drawing, example, only for explaining the present invention, is not intended to limit scope of the present invention.
Embodiment one, a kind of video recommendation method.Below in conjunction with Fig. 1, the method that the present embodiment provides is described in detail.
In Fig. 1, S101, collect user operation records, described operation note comprises user and adds and do not watch video clicks a certain category video frequency to collection or bookmark and user.
Concrete, when user is by the process of Client browse video website, user may be added in collection or bookmark to oneself interested video, or user repeatedly clicks oneself interested video council and checks, these operation notes of user are covered up by the present embodiment, as follow-up analysis data.
S102, operation note according to user, analyze the hobby of user.
Concrete, step S101 have collected the operation note of user, according to the operation note of user, analyzes the hobby of user.When specifically analyzing, be added into the video do not watched of collection or bookmark according to user, analyze first hobby of user; When the frequency that user clicks a certain category video reaches predeterminated frequency, analyze these videos that user's click frequency reaches predeterminated frequency, obtain second hobby of user.Wherein, the priority of first user hobby is liked higher than the second user interest, namely, when recommending video to user, first recommend corresponding video according to first hobby of user to user, right rear line recommends the video corresponding with second hobby of user.
S103, the display interface of videoconference client software generates user can click the video recommendations entrance entered.
Concrete, when after the hobby (comprising first hobby of user and second hobby of user) analyzing user, the display interface of videoconference client software generates user and can click the video recommendations entrance entered, wherein, the video recommendations entrance generated and the hobby of user have corresponding relation, meanwhile, the video playback channel page on the video recommendations entrance of generation and video server has corresponding relation.
S104, by video recommendations entrance, enter from video server the video playback channel liked with user interest and mate.
Concrete, according to the corresponding relation of first hobby of user and the hobby of user and video recommendations entrance, determine the first video recommendations entrance on the display interface of videoconference client software; According to the corresponding relation of second hobby of user and the hobby of user and video recommendations entrance, determine the second video recommendations entrance on the display interface of videoconference client software.
Then, according to the first video recommendations entrance that user first hobby is determined, determine the first video playback channel corresponding on video server, and the broadcast address of the first video playback channel is obtained from video server, enter the first video playback channel according to this broadcast address, carried out the viewing of video by this video playback channel; According to described the first video recommendations entrance determined, determine the first video playback channel corresponding on video server, and the broadcast address of described first video playback channel is obtained from video server, enter the first video playback channel according to this broadcast address, carried out the viewing of video by this video playback channel.
Embodiment two, a kind of video recommendation system.Below in conjunction with Fig. 2, the system that the present embodiment provides is described in detail.
In Fig. 2, the system that the present embodiment provides comprises collection module 201, interest analysis module 202, recommends portal generation module 203, recommends entrance determination module 204 and broadcasting channel to enter module 205, wherein, interest analysis module 202 comprises the first interest analysis module 2021 and the second interest analysis module 2022, recommend entrance determination module 204 to comprise the first recommendation entrance determination module 2041 and second and recommend entrance determination module 2042, broadcasting channel enters module 205 and comprises the first broadcasting channel and enter module 2051 and the second broadcasting channel enters module 2052.
Wherein, collection module 201 is mainly used in collecting user operation records, and described operation note comprises user and adds and do not watch video clicks a certain category video frequency to collection or bookmark and user.
Concrete, when user is by the process of Client browse video website, user may be added in collection or bookmark to oneself interested video, or user repeatedly clicks oneself interested video council and checks, these operation notes of user are covered up by the collection module 201 in the present embodiment client, as follow-up analysis data.
Interest analysis module 202 is mainly used in the operation note of the user collected according to collection module 201, analyzes the hobby of user.
Interest analysis module 202 also comprises the first interest analysis module 2021, does not watch video, analyze the hobby of user specifically for what be added into collection or bookmark according to user, and using first hobby of this hobby as user.
Interest analysis module 202 also comprises the second interest analysis module 2022, specifically for clicking the frequency of a certain category video according to user, when the frequency that user clicks a certain category video reaches predeterminated frequency, according to these videos, analyze the hobby of user, and using second hobby of this hobby as user.
It should be noted that, the priority of first user hobby is liked higher than the second user interest, namely, when recommending video to user, first recommend corresponding video according to first hobby of user to user, right rear line recommends the video corresponding with second hobby of user.
Recommend portal generation module 203 to be mainly used on the display interface of videoconference client software, generate user and can click the video recommendations entrance entered.
Concrete, after interest analysis module 202 analyzes the hobby (comprising first hobby of user and second hobby of user) of user, recommend portal generation module 203 on the display interface of videoconference client software, generate user and can click the video recommendations entrance entered, wherein, the video recommendations entrance generated and the hobby of user have corresponding relation, meanwhile, the video playback channel page on the video recommendations entrance of generation and video server has corresponding relation.
Recommend in entrance determination module 204 first to recommend entrance determination module 2041 specifically for the corresponding relation according to first hobby of described user and the hobby of user and video recommendations entrance, determine the first video recommendations entrance on the display interface of videoconference client software.
Recommend in entrance determination module 204 second to recommend entrance determination module 2042 specifically for the corresponding relation according to second hobby of described user and the hobby of user and video recommendations entrance, determine the second video recommendations entrance on the display interface of videoconference client software.
Broadcasting channel enters module 205 and is mainly used in by video recommendations entrance, enters from video server the video playback channel liked with user interest and mate.
Concrete, broadcasting channel enters module 205 and also comprises the first broadcasting channel and enter module 2051, specifically for according to described the first video recommendations entrance determined, determine the first video playback channel corresponding on video server, and the broadcast address of described first video playback channel is obtained from video server, enter the first video playback channel according to this broadcast address, carried out the viewing of video by this first video playback channel.
Broadcasting channel enters module 205 and also comprises the second broadcasting channel and enter module 2052, specifically for according to described the first video recommendations entrance determined, determine the first video playback channel corresponding on video server, and the broadcast address of described first video playback channel is obtained from video server, enter the first video playback channel according to this broadcast address, carried out the viewing of video by this second video playback channel.
A kind of video recommendation method provided by the invention and system, according to the user operation records collected, analyze the hobby of user, and generating video recommends entrance on the display interface of videoconference client software, and the video recommendations entrance by generating, the video playback channel liked with user interest and mate is entered from video server, can according to the hobby of user easily for user recommends the interested video of user.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (10)

1. a video broadcasting method, is characterized in that, described method comprises:
Step S101, collect user operation records, described operation note comprises user and adds and do not watch video clicks a certain category video frequency to collection or bookmark and user;
Step S102, operation note according to user, analyze the hobby of user;
Step S103, the display interface of videoconference client software generates user can click the video recommendations entrance entered;
Step S104, by video recommendations entrance, enter from video server the video playback channel liked with user interest and mate.
2. a kind of video broadcasting method as claimed in claim 1, is characterized in that, described step S102 comprises:
What be added into collection or bookmark according to user does not watch video, analyzes the hobby of user, and using first hobby of this hobby as user;
Click the frequency of a certain category video according to user, when the frequency that user clicks a certain category video reaches predeterminated frequency, according to these videos, analyze the hobby of user, and using second hobby of this hobby as user;
The priority of described first user hobby is liked higher than the second user interest.
3. a kind of video recommendation method as claimed in claim 2, is characterized in that, the video recommendations entrance generated in described step S103 all has corresponding relation with the hobby of user and the video playback channel of video server respectively.
4. a kind of video recommendation method as claimed in claim 3, is characterized in that, described step S104 comprises:
According to the corresponding relation of first hobby of described user and the hobby of user and video recommendations entrance, determine the first video recommendations entrance on the display interface of videoconference client software;
According to the corresponding relation of second hobby of described user and the hobby of user and video recommendations entrance, determine the second video recommendations entrance on the display interface of videoconference client software.
5. a kind of video recommendation method as claimed in claim 4, is characterized in that, described step S104 comprises:
According to described the first video recommendations entrance determined, determine the first video playback channel corresponding on video server, and obtain the broadcast address of described first video playback channel from video server, enter the first video playback channel according to this broadcast address;
According to described the first video recommendations entrance determined, determine the first video playback channel corresponding on video server, and obtain the broadcast address of described first video playback channel from video server, enter the first video playback channel according to this broadcast address.
6. a video recommendation system, is characterized in that, described system comprises:
Collection module, for collecting user operation records, described operation note comprises user and adds and do not watch video clicks a certain category video frequency to collection or bookmark and user;
Interest analysis module, for the operation note according to user, analyzes the hobby of user;
Recommend portal generation module, on the display interface at videoconference client software, generate user can click the video recommendations entrance entered;
Broadcasting channel enters module, for by video recommendations entrance, enters from video server the video playback channel liked with user interest and mate.
7. a kind of video recommendation system as claimed in claim 6, is characterized in that, described interest analysis module comprises:
First interest analysis module, does not watch video for what be added into collection or bookmark according to user, analyzes the hobby of user, and using first hobby of this hobby as user;
Second interest analysis module, for clicking the frequency of a certain category video according to user, when the frequency that user clicks a certain category video reaches predeterminated frequency, according to these videos, analyze the hobby of user, and using second hobby of this hobby as user;
The priority of described first user hobby is liked higher than the second user interest.
8. a kind of video recommendation system as claimed in claim 7, is characterized in that, the video recommendations entrance of described recommendation portal generation CMOS macro cell all has corresponding relation with the hobby of user and the video playback channel of video server respectively.
9. a kind of video recommendation system as claimed in claim 8, is characterized in that, describedly also comprises:
First recommends entrance determination module, for the corresponding relation according to first hobby of described user and the hobby of user and video recommendations entrance, determines the first video recommendations entrance on the display interface of videoconference client software;
Second recommends entrance determination module, for the corresponding relation according to second hobby of described user and the hobby of user and video recommendations entrance, determines the second video recommendations entrance on the display interface of videoconference client software.
10. a kind of video recommendation system as claimed in claim 9, is characterized in that, described broadcasting channel enters module and comprises:
First broadcasting channel enters module, for according to described the first video recommendations entrance determined, determine the first video playback channel corresponding on video server, and the broadcast address of described first video playback channel is obtained from video server, enter the first video playback channel according to this broadcast address;
Second broadcasting channel enters module, for according to described the first video recommendations entrance determined, determine the first video playback channel corresponding on video server, and the broadcast address of described first video playback channel is obtained from video server, enter the first video playback channel according to this broadcast address.
CN201510719014.3A 2015-10-29 2015-10-29 Video recommendation method and system Pending CN105407385A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510719014.3A CN105407385A (en) 2015-10-29 2015-10-29 Video recommendation method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510719014.3A CN105407385A (en) 2015-10-29 2015-10-29 Video recommendation method and system

Publications (1)

Publication Number Publication Date
CN105407385A true CN105407385A (en) 2016-03-16

Family

ID=55472588

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510719014.3A Pending CN105407385A (en) 2015-10-29 2015-10-29 Video recommendation method and system

Country Status (1)

Country Link
CN (1) CN105407385A (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105916034A (en) * 2016-04-14 2016-08-31 乐视控股(北京)有限公司 Video recommendation method and apparatus
CN106021609A (en) * 2016-06-24 2016-10-12 武汉斗鱼网络科技有限公司 Method and device for intelligently recommending website videos
CN106791961A (en) * 2016-11-24 2017-05-31 武汉斗鱼网络科技有限公司 Video preference information processing method, apparatus and system
CN107908324A (en) * 2017-11-14 2018-04-13 优酷网络技术(北京)有限公司 Method for showing interface and device
CN108304429A (en) * 2017-05-16 2018-07-20 腾讯科技(深圳)有限公司 Information recommendation method, device and computer equipment
CN111258484A (en) * 2020-02-12 2020-06-09 北京奇艺世纪科技有限公司 Video playing method and device, electronic equipment and storage medium

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102843586A (en) * 2011-06-21 2012-12-26 华为软件技术有限公司 Video recommendation method and terminal
CN103136275A (en) * 2011-12-02 2013-06-05 盛乐信息技术(上海)有限公司 System and method for recommending personalized video

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102843586A (en) * 2011-06-21 2012-12-26 华为软件技术有限公司 Video recommendation method and terminal
CN103136275A (en) * 2011-12-02 2013-06-05 盛乐信息技术(上海)有限公司 System and method for recommending personalized video

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105916034A (en) * 2016-04-14 2016-08-31 乐视控股(北京)有限公司 Video recommendation method and apparatus
CN106021609A (en) * 2016-06-24 2016-10-12 武汉斗鱼网络科技有限公司 Method and device for intelligently recommending website videos
CN106791961A (en) * 2016-11-24 2017-05-31 武汉斗鱼网络科技有限公司 Video preference information processing method, apparatus and system
CN108304429A (en) * 2017-05-16 2018-07-20 腾讯科技(深圳)有限公司 Information recommendation method, device and computer equipment
CN107908324A (en) * 2017-11-14 2018-04-13 优酷网络技术(北京)有限公司 Method for showing interface and device
CN107908324B (en) * 2017-11-14 2020-07-14 阿里巴巴(中国)有限公司 Interface display method and device
CN111258484A (en) * 2020-02-12 2020-06-09 北京奇艺世纪科技有限公司 Video playing method and device, electronic equipment and storage medium

Similar Documents

Publication Publication Date Title
JP6935523B2 (en) Methods and systems for displaying contextually relevant information about media assets
CN105407385A (en) Video recommendation method and system
US10075742B2 (en) System for social media tag extraction
AU2016238846B2 (en) Systems and methods for enhancing audience measurement data
US20170169349A1 (en) Recommending method and electronic device
US20140081954A1 (en) Media information system and method
US11036813B2 (en) Content placement criteria expansion
US20190069013A1 (en) Systems and Methods for Automated Extraction of Closed Captions in Real Time or Near Real-Time and Tagging of Streaming Data for Advertisements
KR20140088187A (en) User viewing data collection for generating media viewing achievements
US20120042041A1 (en) Information processing apparatus, information processing system, information processing method, and program
CN102929966A (en) Method and system for providing individualized searching list
US20200053409A1 (en) Systems and Methods for Automated Extraction of Closed Captions in Real Time or Near Real-Time and Tagging of Streaming Data for Advertisements
CN106909634B (en) Multimedia image comment data mining and processing method and system based on conditions
US9277255B1 (en) Metering of internet protocol video streams
CN105243144A (en) Method and device for recommending interesting labels
JP5451545B2 (en) Noise removal condition determination device, noise removal condition determination method, and program
KR101316318B1 (en) System for evaluating broadcasting contents
AU2018101352A4 (en) Multi-source Data Acquisition System and Real-Time Analysis System Based on Cloud Platform
KR101322004B1 (en) Apparatus and Method for Providing Recommendation Information about On-demand TV Contents
US20150205824A1 (en) System and method for providing aggregated metadata for programming content
Kren et al. Determination of user opinion based on IPTV data
US20140143093A1 (en) Knowledge product trading method of online store
KR101303257B1 (en) Aparatus and method for guiding program linhage network
KR101171544B1 (en) IPTV blog framework system and IPTV system implementing the same

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20160316