Computer Science ›› 2015, Vol. 42 ›› Issue (3): 206-209.doi: 10.11896/j.issn.1002-137X.2015.03.042

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Web Content Rating Algorithm Based on Network Community Structure and its Performance Analysis

LIU Yan and WANG Tai   

  • Online:2018-11-14 Published:2018-11-14

Abstract: The Web contents are massive,diverse and semantics-missing,which bring significant challenges to the content-rating.This new algorithm takes full advantage of the Web structure feature that the similar topic webpages aggregate into the Web community,and uses the Web community detection algorithm to rate more content-similar webpages automatically when rating one webpage.In addition,it can be used in the current third-party content-rating system.Theory analysis shows that this algorithm significantly raises the efficiency of Web contents rating.

Key words: Web content rating,Network community structure,Third-party rating

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