Method for recommending digital television programs based on community finding

A community discovery and program recommendation technology, applied in the field of digital TV program recommendation, can solve problems such as ignoring user-to-user contact and insufficiently comprehensive and accurate recommendation results

Inactive Publication Date: 2013-08-21
SHAANXI NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, most of the existing TV program recommendation schemes only provide directional recommendations for a single user’s viewing behavior habits, ignoring the possible connections between users. For example, users in the same social group often have the same attention due to frequent interactions. Objects and topics, resulting in common interests
As a result, the recommendation results of the existing technology cannot reflect the user's possible viewing preferences in a wider range, so the recommendation results are not comprehensive and accurate enough

Method used

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  • Method for recommending digital television programs based on community finding
  • Method for recommending digital television programs based on community finding
  • Method for recommending digital television programs based on community finding

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Embodiment Construction

[0009] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0010] figure 1 It is a schematic structural diagram of a digital TV network 100 according to a preferred embodiment of the present invention. Such as figure 1 As shown, the digital TV network 100 includes a broadcast operator 130 and a program recommendation server 120, a plurality of digital TV terminals 104, 106 and 108, and a broadband metropolitan area network 110, wherein a plurality of digital TV terminals 104, 106 and 108 are connected via broadband The MAN 110 communicates with the broadcast operator 130 and the program recommendation server 120 . In other preferred embodiments, the pro...

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Abstract

The invention discloses a method for recommending digital television programs based on community finding. The method comprises a step 202 of obtaining data of a multilayer social network relevant to users by a program recommendation system according to login information of the television users, a step 204 of carrying out community division on the multilayer social network by the program recommendation system through the community finding method, and a step 206 of sending corresponding program recommending information to a digital television receiving end of each community member with each community as a unit by the program recommendation system according to community division situations obtained in the step 204. The method for recommending the digital television programs utilizes information contained in a social network structure to recommend content of the television programs with each community as the unit, so that comprehensiveness and accuracy of a recommendation result are improved.

Description

technical field [0001] The present invention relates to a method for recommending digital TV programs, more specifically, to a method for recommending digital TV programs based on community discovery. Background technique [0002] Today, as TV programs become more and more colorful, how to select interesting content among numerous TV programs has become a problem that perplexes the majority of TV users. Although the electronic program guide displays the program list based on channels or categories (such as sports, finance, movies, etc.), it is difficult to solve all problems. [0003] An automatic recommendation method for TV programs already exists in the prior art. However, most of the existing TV program recommendation schemes only provide directional recommendations for a single user’s viewing behavior habits, ignoring the possible connections between users. For example, users in the same social group often have the same attention due to frequent interactions. Objects ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N21/258
Inventor 王小明袁辉辉张立臣刘丁
Owner SHAANXI NORMAL UNIV
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