Presentation 2006-07-13
Experiments for Improving the Performance of a Document Retrieval System Developed on a Feature Extraction Method
Toshiaki FUKUMURA, Yusuke KIDERA, Kosuke TAKANO, Xing Chen,
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Abstract(in English) We have developed an document retrieval system based on our proposed method FEM (Feature Extraction Model). In this method, documents are represented as vectors on a vector space created based on FEM. This vectors space has the characteristics that it is created from the documents which are divided into different groups by human. Documents in different groups are considered to be independent from each other by human on semantic meanings. In order to improve the performance of our document retrieval system, we performed experiments to analyze the distribution characteristics of document vectors on the vector space. Based on the retrieval results, we find a method to improve the performance of the system.
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Keyword(in English) document retrieval / vector space / semantic retrieval / feature extraction / SVD
Paper # DE2006-89
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Committee DE
Conference Date 2006/7/6(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Experiments for Improving the Performance of a Document Retrieval System Developed on a Feature Extraction Method
Sub Title (in English)
Keyword(1) document retrieval
Keyword(2) vector space
Keyword(3) semantic retrieval
Keyword(4) feature extraction
Keyword(5) SVD
1st Author's Name Toshiaki FUKUMURA
1st Author's Affiliation Dept. of Info. & Comp. Sciences, Kanagawa Institute of Technology()
2nd Author's Name Yusuke KIDERA
2nd Author's Affiliation Dept. of Info. & Comp. Science, Grad. Cause, Kanagawa Institute of Technology
3rd Author's Name Kosuke TAKANO
3rd Author's Affiliation Dept. of Info. & Comp. Sciences, Kanagawa Institute of Technology
4th Author's Name Xing Chen
4th Author's Affiliation Dept. of Info. & Comp. Sciences, Kanagawa Institute of Technology
Date 2006-07-13
Paper # DE2006-89
Volume (vol) vol.106
Number (no) 149
Page pp.pp.-
#Pages 6
Date of Issue