文章基本信息

标题：An Improved HITS Algorithm Based on Page-query Similarity and Page Popularity
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作者：Liu, Xinyue ; Lin, Hongfei ; Zhang, Cong 等
期刊名称：Journal of Computers
印刷版ISSN：1796-203X
出版年度：2012
卷号：7
期号：1
页码：130-134
DOI：10.4304/jcp.7.1.130-134
语种：English
出版社：Academy Publisher
摘要：The HITS algorithm is a very popular and effective algorithm to rank web documents based on the link information among a set of web pages. However, it assigns every link with the same weight. This assumption results in topic drift. In this paper, we firstly define the generalized similarity between a query and a page, and the popularity of a web page. Then we propose a weighted HITS algorithm which differentiates the importance of links with the query-page similarities and the popularity of web pages. Experimental results indicate that the improved HITS algorithm can find more relevant pages than HITS and improve the relevance by 30%-50%. Furthermore, it can avoid the problem of topic drift and enhance the quality of web search effectively.
关键词：HITS Algorithm;Link Analysis;Similarity;Popularity