Literal-matching-biased link analysis

Authors:
Yinghui Xu;Kyoji Umemura
Affiliations:
Information and Computer Science Department, Software System Lab., Toyohashi University of Technology, Toyohashi, Aichi, Japan;Information and Computer Science Department, Software System Lab., Toyohashi University of Technology, Toyohashi, Aichi, Japan
Venue:
AIRS'04 Proceedings of the 2004 international conference on Asian Information Retrieval Technology
Year:
2004

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Abstract

The PageRank algorithm, used in the Google Search Engine, plays an important role in improving the quality of results by employing an explicit hyperlink structure among the Web pages. The prestige of Web pages defined by PageRank is derived solely from surfers' random walk on the Web Graph without any textual content consideration. However, in the practical sense, user surfing behavior is far from random jumping. In this paper, we propose a link analysis that takes the textual information of Web pages into account. The result shows that our proposed ranking algorithms perform better than the original PageRank.