Presentation 2005-07-13
Clustering Web Pages Based on Maximum Flow Algorithm
Shigeyoshi OHNO, Masashi WATANABE, Kaoru KATAYAMA, Hiroshi ISHIKAWA, Manabu OHTA,
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Abstract(in English) While search engines are indispensable for searching on the Web, users have to check a long ordered list to locate the needed information. It is often tedious and less efficient. In this paper, we propose a new link-based clustering approach to categorize search results returned from Web search engine. The maximum flow algorithm effective in finding the page sets with the link structures connected more precisely is used for the analysis of link information. In the experiments to evaluate method perfoemance quantitatively, we had good results using the data of NTCIR.
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Keyword(in English) Information Retrieval / Web and Internet / Clustering / Maximum Flow Algorithm
Paper # DE2005-41
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Committee DE
Conference Date 2005/7/6(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Clustering Web Pages Based on Maximum Flow Algorithm
Sub Title (in English)
Keyword(1) Information Retrieval
Keyword(2) Web and Internet
Keyword(3) Clustering
Keyword(4) Maximum Flow Algorithm
1st Author's Name Shigeyoshi OHNO
1st Author's Affiliation Department of Information and Computer Science, Polytechinic University:Graduate School of Engineering, Tokyo Metropolitan University()
2nd Author's Name Masashi WATANABE
2nd Author's Affiliation Graduate School of Engineering, Tokyo Metropolitan University
3rd Author's Name Kaoru KATAYAMA
3rd Author's Affiliation Graduate School of Engineering, Tokyo Metropolitan University
4th Author's Name Hiroshi ISHIKAWA
4th Author's Affiliation Graduate School of Engineering, Tokyo Metropolitan University
5th Author's Name Manabu OHTA
5th Author's Affiliation Graduate School of Natural Science and Technology, Okayama University
Date 2005-07-13
Paper # DE2005-41
Volume (vol) vol.105
Number (no) 171
Page pp.pp.-
#Pages 6
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