Presentation 2003/10/16
Collaborative Filtering Improving Information and Knowledge : Methods for Spreading the Field of Collaborative Filtering
Noriaki KAWAMAE, Hideaki SUZUKI, Osamu MIZUNO,
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Abstract(in English) A collaborative filtering is useful way for the information and knowledge sharing. The collaborative filtering supports the information and knowledge sharing based on user's similarity, which are discovered by the data such as user's history. Mfe are studying that the introducing of collaborative filtering to improve the information and knowledge sharing more efficiently than ever. To spread the applicable field, the existing collaborative filtering must solve following problems: (1) "the Cold Start Problem", (2) improvement in the speed of processing and (3) improvement in the prediction accuracy. Objective of this research is to provide the methods that can solve these three problems. In this paper we propose the presumption method of a deficit value to the Cold Start Problem, the extraction method of a useful data to the improvement in the speed of processing and the discovery method of a similarity among user to the improvement in the prediction accuracy. Additionally we conducted the comparison experiments using these proposed methods and confirmed the efficiency.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Information Sharing / Knowledge Sharing / Collaborative Filtering / Cold Start Problem / Presumption Method of a Deficit Value / Extraction Method of a Useful Data / Hidden Preference Model
Paper # PRMU2003-121,NC2003-52
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Committee NC
Conference Date 2003/10/16(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Collaborative Filtering Improving Information and Knowledge : Methods for Spreading the Field of Collaborative Filtering
Sub Title (in English)
Keyword(1) Information Sharing
Keyword(2) Knowledge Sharing
Keyword(3) Collaborative Filtering
Keyword(4) Cold Start Problem
Keyword(5) Presumption Method of a Deficit Value
Keyword(6) Extraction Method of a Useful Data
Keyword(7) Hidden Preference Model
1st Author's Name Noriaki KAWAMAE
1st Author's Affiliation NTT Information Sharing Platform Laboratories()
2nd Author's Name Hideaki SUZUKI
2nd Author's Affiliation NTT Information Sharing Platform Laboratories
3rd Author's Name Osamu MIZUNO
3rd Author's Affiliation NTT Information Sharing Platform Laboratories
Date 2003/10/16
Paper # PRMU2003-121,NC2003-52
Volume (vol) vol.103
Number (no) 391
Page pp.pp.-
#Pages 6
Date of Issue