Presentation | 2004/10/11 Recommendation Algorithm based on Bayesian Network Chihiro Ono, Yoichi Motomura, Hideki Asoh, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recently, recommendation algorithm and services has been studied, which provide appropriate contents or items from a large amount of available contents or services based on personal and contents profiles. So far, content-based filtering and collaborative filtering have widely been used as a recommendation algorithm. They, however, have problems such as unsuitable formalization of human perception and preferences based on content analysis, and extreme sparsity of available data as users typically rate only very few contents. We are now studying a recommendation system based on Bayesian network to solve these issues. In this paper, we first describe requirements for recommendation, then describe model definition policy and an example model based on the results of the questionnaire about movie preference taken from 1600 users. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Bayesian Network / Recommendation |
Paper # | NC2004-66 |
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Committee | NC |
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Conference Date | 2004/10/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Recommendation Algorithm based on Bayesian Network |
Sub Title (in English) | |
Keyword(1) | Bayesian Network |
Keyword(2) | Recommendation |
1st Author's Name | Chihiro Ono |
1st Author's Affiliation | KDDI R&D Laboratories, Inc() |
2nd Author's Name | Yoichi Motomura |
2nd Author's Affiliation | Digital Human Research Center, National Institute of Advanced Industrial Science and Technology |
3rd Author's Name | Hideki Asoh |
3rd Author's Affiliation | Information Technology Research Institute, National Institute of Advanced Industrial Science and Technology |
Date | 2004/10/11 |
Paper # | NC2004-66 |
Volume (vol) | vol.104 |
Number (no) | 348 |
Page | pp.pp.- |
#Pages | 6 |
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