Presentation 2009-09-25
Development of Web Recommendation System Using Social Bookmark
Tomoyuki ISHIBASHI, Yuki KAERI, Tatsuru WAKIYA, Yusuke MANABE, Kenji SUGAWARA,
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Abstract(in English) Recently there are a lot of contributions to develop recommendation system because of solving information overload problem. However, in most recommendation systems, the bound of items to be recommended is limited. Development of web recommendation system includes some difficulties such as how we obtain personal preferences from flood of web information. On the other hand, the concern with social bookmark, which is a kind of social networking site (SNS), has been growing because we can obtain personal preferences from social bookmark with comparative ease. Thus, in order to develop web recommendation system, this paper proposes a novel approach to recommend web page by using social bookmark. Our proposed method is based on hybrid recommendation method.
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Keyword(in English) Social Bookmark / Recommendation System / Folksonomy / Serendipity / Hybrid method
Paper # AI2009-10
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Committee AI
Conference Date 2009/9/18(1days)
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Paper Information
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) Development of Web Recommendation System Using Social Bookmark
Sub Title (in English)
Keyword(1) Social Bookmark
Keyword(2) Recommendation System
Keyword(3) Folksonomy
Keyword(4) Serendipity
Keyword(5) Hybrid method
1st Author's Name Tomoyuki ISHIBASHI
1st Author's Affiliation Graduate School of Information Science, Chiba Institute of Technology()
2nd Author's Name Yuki KAERI
2nd Author's Affiliation Graduate School of Information Science, Chiba Institute of Technology
3rd Author's Name Tatsuru WAKIYA
3rd Author's Affiliation Graduate School of Information Science, Chiba Institute of Technology
4th Author's Name Yusuke MANABE
4th Author's Affiliation Faculty of Information and Computer Science, Chiba Institute of Technology
5th Author's Name Kenji SUGAWARA
5th Author's Affiliation Faculty of Information and Computer Science, Chiba Institute of Technology
Date 2009-09-25
Paper # AI2009-10
Volume (vol) vol.109
Number (no) 211
Page pp.pp.-
#Pages 6
Date of Issue