Presentation 2007-07-02
Evaluation of Tag-Based Contextual Collaborative Filtering Effectiveness in Website Recommendation
Reyn NAKAMOTO, Shinsuke NAKAJIMA, Jun MIYAZAKI, Shunsuke UEMURA, Hirokazu KATO,
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Abstract(in English) In this paper, we introduce a website bookmarking and recommendation system which uses Tag-Based Contextual Collaborative Filtering to effectively provide personalized, contextual recommendations. Current online search and recommendation systems have been limited to personalized recommendations via Collaborative Filtering (CF) or have been restricted to keyword-based search as provided by search engines or recently popular online social tagging systems. Yet, our new system combines the features of both CF and tagging to provide personalized, contextual website recommendations to the user. Based upon user testing, our system provides more relevant recommendations than traditional keyword search or CF recommendation methods. Additionally, users also reported to be more satisfied overall with the recommendations provided by our method. Overall, Tag-Based Contextual Collaborative Filtering was shown be effective in providing personalized, contextual recommendations to the end user.
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Keyword(in English) collaborative filtering / tagging / recommendation systems / information retrieval
Paper # DE2007-26
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Committee DE
Conference Date 2007/6/25(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Evaluation of Tag-Based Contextual Collaborative Filtering Effectiveness in Website Recommendation
Sub Title (in English)
Keyword(1) collaborative filtering
Keyword(2) tagging
Keyword(3) recommendation systems
Keyword(4) information retrieval
1st Author's Name Reyn NAKAMOTO
1st Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology()
2nd Author's Name Shinsuke NAKAJIMA
2nd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
3rd Author's Name Jun MIYAZAKI
3rd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
4th Author's Name Shunsuke UEMURA
4th Author's Affiliation Department of Informatics, Faculty of Informatics, Nara Sangyo University
5th Author's Name Hirokazu KATO
5th Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
Date 2007-07-02
Paper # DE2007-26
Volume (vol) vol.107
Number (no) 131
Page pp.pp.-
#Pages 6
Date of Issue