Presentation 2000/3/21
kMedia: Discovery of Shared Topic Networks among Users
Takeshi Matsuzuka, Yuichiro Taniguchi, Hideaki Takeda,
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Abstract(in English) We propose a technique to discover shared topics network(STN)among users that can show common interest for two or more persons, and describe kMedia system based on this technique. We interpret folders in browser's bookmark as topics, and STN is realized as the undirected graph of related folders. The relationship among folders is computed by the similarity among web pages included in folders. The similarity among web pages is computed by measuring shared keywords including these web pages. kMedia is a server-client system to show the STN and recommend information computed from page similarity graphically.
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Keyword(in English) information integration / content-based filtering / collaborative filtering / network community / WWW
Paper # AI99-96,KBSE99-55
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Committee AI
Conference Date 2000/3/21(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) kMedia: Discovery of Shared Topic Networks among Users
Sub Title (in English)
Keyword(1) information integration
Keyword(2) content-based filtering
Keyword(3) collaborative filtering
Keyword(4) network community
Keyword(5) WWW
1st Author's Name Takeshi Matsuzuka
1st Author's Affiliation Graduate School of Infomation Science, Nara Institute of Science and Technology()
2nd Author's Name Yuichiro Taniguchi
2nd Author's Affiliation Graduate School of Infomation Science, Nara Institute of Science and Technology
3rd Author's Name Hideaki Takeda
3rd Author's Affiliation Graduate School of Infomation Science, Nara Institute of Science and Technology
Date 2000/3/21
Paper # AI99-96,KBSE99-55
Volume (vol) vol.99
Number (no) 717
Page pp.pp.-
#Pages 7
Date of Issue