Pagerank algorithm improvement by page relevance measurement

Authors:
Chia-Chen Yen;Jih-Shih Hsu
Affiliations:
Department of Information Management, National Yunlin University of Science and Technology, Yunlin, Taiwan;Department of Information Management, National Yunlin University of Science and Technology, Yunlin, Taiwan
Venue:
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Year:
2009

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Abstract

Pagerank algorithm evaluates the importance of web pages by the link analysis, and there are many techniques to improve the traditional pagerank algorithm to prevent from the biases of link spamming in recent years. The modified algorithms should concern not only the correctness, but also the efficiency should be considered. This paper proposes an associated pagerank algorithm for search engines to feedback quality results by scoring the relevance between web documents. The modified Pagerank algorithm increases the degree of relevance than the original one, and decreases the query time efforts of topic-sensitive pagerank.