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アイテム
Adaptive Fusion Method For User-based and Item-based Collaborative Filtering
http://hdl.handle.net/10445/8171
http://hdl.handle.net/10445/8171ec20361c-8e45-4660-ac4b-01b5ffb7ebfc
| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2015-09-07 | |||||
| タイトル | ||||||
| タイトル | Adaptive Fusion Method For User-based and Item-based Collaborative Filtering | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| アクセス権 | ||||||
| アクセス権 | metadata only access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
| 著者 |
Yamashita, Akihiro
× Yamashita, Akihiro× Kawamura, Hidenori× 鈴木, 恵二 |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | In this research, first, we investigated the relationship between recommendation accuracy and the weight parameter. The results show the optimal weight is different depending on the situation. Second, we propose an approach for estimation of the appropriate weight value based on collected ratings. Then, we discuss the effectiveness of the proposed approach based on both multi-agent simulation and the MovieLens dataset. | |||||
| 書誌情報 |
Advances in Complex Systems 巻 14, 号 2, p. 133-149, 発行日 2011-04 |
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| 査読有無 | ||||||
| 値 | あり/yes | |||||
| 研究業績種別 | ||||||
| 値 | 原著論文/Original Paper | |||||
| 単著共著 | ||||||
| 値 | 共著/joint | |||||
| 出版者 | ||||||
| 出版者 | World Scientific Publishing | |||||
