Presentation | 2003/5/26 Collaborative Filtering Based on User's Hidden Preference Model : Extraction User's Preference from User's Rating noriaki kawamae, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes a novel method in collaborative filtering, which helps users in getting contents and items. The effectiveness of collaborative filtering can be assessed by its accuracy of prediction, and the accuracy of prediction depends on the way to seek similar users in preference. Previous works seek these users by the similarity between the users' rating. But our method measures the similarity by the users' preference. To extract these users' preference, we propose the weighting method for item and the introduction of users' hidden preference model. Besides these, we define the formula to predict users' rating. Through the experiments, we can confirm the effectiveness of our method in the accuracy of prediction. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Collaborative Filtering / Knowledge Sharing / User's Hidden Preference / Factor Analysis / History Analysis |
Paper # | DE2003-5 |
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Conference Information | |
Committee | DE |
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Conference Date | 2003/5/26(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Data Engineering (DE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Collaborative Filtering Based on User's Hidden Preference Model : Extraction User's Preference from User's Rating |
Sub Title (in English) | |
Keyword(1) | Collaborative Filtering |
Keyword(2) | Knowledge Sharing |
Keyword(3) | User's Hidden Preference |
Keyword(4) | Factor Analysis |
Keyword(5) | History Analysis |
1st Author's Name | noriaki kawamae |
1st Author's Affiliation | NTT Information Sharing Platform Laboratories() |
Date | 2003/5/26 |
Paper # | DE2003-5 |
Volume (vol) | vol.103 |
Number (no) | 104 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |