Presentation 2005-03-18
Search engine tuned individual interest Proposal of retrieval technique that uses notion network
Masao NAKADA, Kazuhiro FUCHI,
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Abstract(in English) In this paper we propose a new information retrieval method NB-Rank with use of a notion-network to model concepts in human mind, so that information retrieval systems can use a query which conveys what users want to get in mind, which is usually indescribable. The notion-network is an undirected graph of words. Each link of the network has two relation values from one node to another and vice versa. We also implemented an information retrieval system Infollect based to evaluate and confirm fundamental validity of the method.
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Keyword(in English) Web search / notion network
Paper # TL2004-67,PRMU2004-235
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Committee PRMU
Conference Date 2005/3/11(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Search engine tuned individual interest Proposal of retrieval technique that uses notion network
Sub Title (in English)
Keyword(1) Web search
Keyword(2) notion network
1st Author's Name Masao NAKADA
1st Author's Affiliation Graduate School of Engineering, Tokyo University of Technology()
2nd Author's Name Kazuhiro FUCHI
2nd Author's Affiliation Graduate School of Engineering, Tokyo University of Technology
Date 2005-03-18
Paper # TL2004-67,PRMU2004-235
Volume (vol) vol.104
Number (no) 742
Page pp.pp.-
#Pages 6
Date of Issue