Presentation 2002/7/11
Examining the Quality of Link-Contents Coupled Clustering for Web Pages
Yitong Wang, Masaru Kitsuregawa,
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Abstract(in English) Clustering is currently one of the most crucial techniques for dealing (e.g. resources locating, information interpreting) with massive amount of heterogeneous information on the web. In this paper, we present a unifying clustering algorithm to cluster web search results for a specific query topic by combining link and contents information. In particular, we examine the quality of the proposed link-contents coupled clustering approach. The proposed approach automatically clusters the web search results into high quality, semantically meaningful groups in a concise, easy-to-interpret hierarchy with tagging terms. We conduct experiments and comparisons and the experimental results show that the proposed approach is effective and promising.
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Paper # DE2002-52
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Committee DE
Conference Date 2002/7/11(1days)
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Registration To Data Engineering (DE)
Language ENG
Title (in Japanese) (See Japanese page)
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Title (in English) Examining the Quality of Link-Contents Coupled Clustering for Web Pages
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Keyword(1) co-citation
Keyword(2) coupling
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1st Author's Name Yitong Wang
1st Author's Affiliation Institute of Industrial and Science, the University of Tokyo()
2nd Author's Name Masaru Kitsuregawa
2nd Author's Affiliation Institute of Industrial and Science, the University of Tokyo
Date 2002/7/11
Paper # DE2002-52
Volume (vol) vol.102
Number (no) 208
Page pp.pp.-
#Pages 6
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