Presentation 2007-12-13
A Researcher Retrieval System Based on Bayesian Filter
Hiroyuki Nakamura, Ryohei Shindo, Kazuya Nozawa, Taiga Watanabe, Qiangfu Zhao,
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Abstract(in English) In recent years, the number of paper submissions has been increasing very quickly. To ensure the quality of the journals or conferences, it is extremely important to find qualified reviewers related to the submitted papers. However, with the existing search engine, it is very time consuming to find the reviewers and their profiles using some keywords, because the editor must check every link in the search results. To improve the efficiency of the editors, we propose a Bayesian filter based search method, and developed a simple editor assistant system. This paper explains the method in detail, and shows how to use the system through some examples.
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Keyword(in English) Information retrieval / editor assistant system / Bayesian filter / text mining
Paper # PRMU2007-136
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Conference Information
Committee PRMU
Conference Date 2007/12/6(1days)
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Paper Information
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) A Researcher Retrieval System Based on Bayesian Filter
Sub Title (in English)
Keyword(1) Information retrieval
Keyword(2) editor assistant system
Keyword(3) Bayesian filter
Keyword(4) text mining
1st Author's Name Hiroyuki Nakamura
1st Author's Affiliation School of Computer Science and Technology, The University of Aizu()
2nd Author's Name Ryohei Shindo
2nd Author's Affiliation School of Computer Science and Technology, The University of Aizu
3rd Author's Name Kazuya Nozawa
3rd Author's Affiliation School of Computer Science and Technology, The University of Aizu
4th Author's Name Taiga Watanabe
4th Author's Affiliation School of Computer Science and Technology, The University of Aizu
5th Author's Name Qiangfu Zhao
5th Author's Affiliation School of Computer Science and Technology, The University of Aizu
Date 2007-12-13
Paper # PRMU2007-136
Volume (vol) vol.107
Number (no) 384
Page pp.pp.-
#Pages 6
Date of Issue