Presentation 2001/3/12
kMedia: Discovery of Shared Topic Nwtworks among Users by using WWW Bookmarks
Masahiro HAMASAKI, Hideaki TAKEDA, Yasuyuki KONO, Masatsugu KIDODE,
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Abstract(in English) In this paper, we report an effect of community for the recommender system and a parameter of the human network. The structure of bookmark and web pages which is registered in bookmarks reflect user's interest. We proposed a system called kMedia that can assist users to form knowledge for community by showing shared topics networks(STN) among them. We investigated whether the result of the recommendation was different when there was a community and when it was not.
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Keyword(in English) Recommender System / Online Communnity / Collaborative Filtering / WWW
Paper # AI2000-81,KBSE89
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Committee KBSE
Conference Date 2001/3/12(1days)
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Registration To Knowledge-Based Software Engineering (KBSE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) kMedia: Discovery of Shared Topic Nwtworks among Users by using WWW Bookmarks
Sub Title (in English)
Keyword(1) Recommender System
Keyword(2) Online Communnity
Keyword(3) Collaborative Filtering
Keyword(4) WWW
1st Author's Name Masahiro HAMASAKI
1st Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology()
2nd Author's Name Hideaki TAKEDA
2nd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology:National Institute of Informatics
3rd Author's Name Yasuyuki KONO
3rd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
4th Author's Name Masatsugu KIDODE
4th Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
Date 2001/3/12
Paper # AI2000-81,KBSE89
Volume (vol) vol.100
Number (no) 710
Page pp.pp.-
#Pages 8
Date of Issue