An Improved HITS Algorithm Based on Analysis of Web Page Links and Web Content Similarity

被引：6

作者：

Yang, Weiming ^{[1
]}

机构：

[1] Chongqing Normal Univ, Coll Comp & Informat Sci, Chongqing, Peoples R China

来源：

2016 INTERNATIONAL CONFERENCE ON CYBERWORLDS (CW) | 2016年

关键词：

HITS algorithm; Web content similarity; Authority page; Hub page;

D O I：

10.1109/CW.2016.30

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

HITS (HyperLink Induced Topic Search) is a classical link analysis algorithm for analyzing WSM (Web Structure Mining). The algorithm takes into consideration of the structural information of links but ignores the correlation between pages and topics. In some cases, the problem of "topic drift" a deviation between search and topic would appear. For this purpose, the current paper presents an improved algorithm, by taking into account both of the web content similarity and link analysis. Our experiment shows that the improved algorithm has enhanced the correlation of search results and limited the occurrence of topic drift to some degree.

引用

页码：147 / 150

页数：4

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