Associated pagerank: improved pagerank measured by frequent term sets

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:
VECIMS'09 Proceedings of the 2009 IEEE international conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems
Year:
2009

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Abstract

Web search engines encounter many new challenges while the amount of information on the web increases rapidly. Web documents have been a main resource for various purposes, and people rely on search engines to retrieve the desired documents. This paper proposes an associated pagerank algorithm for search engines to feedback quality results by scoring the relevance of 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.