Presentation 2006-10-11
On Integration of Collaborative and Feature-based Filtering
Hideki ASOH, Chihiro ONO, Yoichi MOTOMURA, Mori KUROKAWA, Akito SAKURAI,
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Abstract(in English) With the flood of various information and contents easily available through the Internet, the need for recommender systems which provide users with the information on demand and on time. In order to make appropriate recommendation, system can model preference/needs of users. So far, various technologies such as collaborative filtering, content-based filtering, demographic filtering have been proposed and applied to many domains. However, almost all of the methods use only a part of available information about users or contens. In this paper, we examine this problem, give a brief survey of exisiting researches, and propose a novel modeling method which utilize all related information in an integrated manner.
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Keyword(in English) Recommender Systems / Collaborative Filtering / Content-based Filtering
Paper # NC2006-54
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Committee NC
Conference Date 2006/10/4(1days)
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Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On Integration of Collaborative and Feature-based Filtering
Sub Title (in English)
Keyword(1) Recommender Systems
Keyword(2) Collaborative Filtering
Keyword(3) Content-based Filtering
1st Author's Name Hideki ASOH
1st Author's Affiliation Information Technology RI, AIST()
2nd Author's Name Chihiro ONO
2nd Author's Affiliation KDDI R&D Laboratory, Inc.
3rd Author's Name Yoichi MOTOMURA
3rd Author's Affiliation Digital Human RC, AIST
4th Author's Name Mori KUROKAWA
4th Author's Affiliation Fuculty of Science and Technology, Keio University
5th Author's Name Akito SAKURAI
5th Author's Affiliation Fuculty of Science and Technology, Keio University
Date 2006-10-11
Paper # NC2006-54
Volume (vol) vol.106
Number (no) 279
Page pp.pp.-
#Pages 5
Date of Issue