Method and system for recommending television programs based on social network information

A TV program and social network technology, which is applied in the field of TV program recommendation based on social network information, can solve the problem of incapability of recommending to discover the implicit relationship of the content, no recommendation of TV program preferences, and inability to discover the user's subjective evaluation and hidden content of the content. Relevance and other issues to achieve the effect of close fit and accurate recommendation

Active Publication Date: 2014-01-22
TCL CORPORATION
View PDF5 Cites 27 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] There is no personal recommendation for TV program preferences, and the implicit relationship between content cannot be discovered ba

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and system for recommending television programs based on social network information
  • Method and system for recommending television programs based on social network information
  • Method and system for recommending television programs based on social network information

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0039] In order to make the objectives, technical solutions and advantages of the present invention clearer and clearer, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0040] With the popularization of smart TVs, TV program recommendation in the field of smart TVs has also become a major aspect of its intelligence. In the prior art, the recommendation of TV programs is mainly based on the basic content of TV programs and their attributes. This also faces the problem that the recommended programs are not close to the current social concerns, and the program recommendation does not realize personalized recommendation. The principle is based on the data in the TV field itself, without too much connection with the vast sea of ​​information on the In...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

Provided are a method and a system for recommending television programs based on social network information. The method comprises the steps of: extracting each user evaluation information about each television program in a social network; establishing a user-television program evaluation relationship between each user and each television program; abstracting a behavior transaction data set of the user according to the user-television program evaluation relationship; according to the behavior transaction data set, excavating a frequent item set of the television programs by means of a frequent item set excavation algorithm; and recommending the television programs according to the frequent item set of the television programs. Compared with the prior art in which the programs are recommended only based on the content properties of the television programs, the method and the system for recommending television programs are more humanized, the recommended programs are more close to the social hot spots and the user individuals; and compared with a television, the information advancement of the social network enables the television program recommendation to be more accurate.

Description

technical field [0001] The invention relates to a technology specially applicable to interactive television content distribution, and in particular to a method and system for recommending television programs based on social network information. Background technique [0002] At present, there are more and more TV channels, more and more TV programs and content, and users have more and more options for TV programs. At the same time, with the development of triple play, the amount of TV content information will further increase. swell. The sharp increase of TV content information makes it take more and more time for users to choose their favorite TV content. The intelligent program recommendation system in the field of smart TV in the prior art enables users to select favorite programs from many TV programs. However, how to recommend the program that the intelligent program recommendation system really likes to the user is a difficult problem. In other words, the amount of da...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): H04N21/25H04N21/262
Inventor 董延平汪灏泓李辉
Owner TCL CORPORATION
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap