Presentation 2001/7/11
Information Filtering by Detecting Localness Degree of Web Pages
CHIYAKO MATSUMOTO, QIANG MA, KATSUMI TANAKA,
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Abstract(in English) The vast amount of information is available on the WWW. Usually, users use the information technologies or search engines to acquire their favorite information. However, it's still not easy to acquire local information with the conventional search engines and information filtering technology. In this paper, we propose a new information filtering method based on localness degree, which is a new measure to discover local information from the WWW. The proposed notion, localness degree, is estimated by 1)the content analysis for the estimating page, such as geographical words, position and so on, and 2)the correlation between the estimating page and its linked in pages. Its similar pages in other Websites are also considered. We also show some results of our preliminary evaluation.
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Paper # DE2001-50
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Committee DE
Conference Date 2001/7/11(1days)
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Registration To Data Engineering (DE)
Language JPN
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Title (in English) Information Filtering by Detecting Localness Degree of Web Pages
Sub Title (in English)
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1st Author's Name CHIYAKO MATSUMOTO
1st Author's Affiliation Division of Computer and Systems Engineering, Graduate School of Science and Technology, Kobe University()
2nd Author's Name QIANG MA
2nd Author's Affiliation Division of Information and Media Science, Graduate School of Science and Technology, Kobe University
3rd Author's Name KATSUMI TANAKA
3rd Author's Affiliation Graduate School of Informatics, Kyoto University
Date 2001/7/11
Paper # DE2001-50
Volume (vol) vol.101
Number (no) 192
Page pp.pp.-
#Pages 8
Date of Issue