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Recommendation Systems and Their Preference Prediction Algorithms in a Large-Scale Database
http://hdl.handle.net/10228/4854
http://hdl.handle.net/10228/48545288d3ee-6f30-423e-b79e-10ef8b57eaa3
名前 / ファイル | ライセンス | アクション |
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INFO12_1165.pdf (1.0 MB)
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Item type | 学術雑誌論文 = Journal Article(1) | |||||
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公開日 | 2011-08-12 | |||||
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 | |||||
タイトル | ||||||
タイトル | Recommendation Systems and Their Preference Prediction Algorithms in a Large-Scale Database | |||||
言語 | ||||||
言語 | eng | |||||
著者 |
Takimoto, Seiji
× Takimoto, Seiji× 廣瀬, 英雄 |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | As the market of electronic commerce grows explosively, it becomes more and more important to provide the recommendation system which suggests the preferred items for consumers using the large-scale customers database. In this paper, we discuss the algorithms and their performances of the recommendation systems using the collaborative filtering in the case of the Netflix database: they are, 1) memory-based system (k-nearest neighbor using the correlation coefficients), 2) model-based system (matrix decomposition), and 3) the combination method. When the customer-item matrix is a sparse matrix like the Netflix database, the matrix decomposition method shows better performance than the k-nearrest neighbor; in addition, it is found that the combination method of the two methods provide a much better performance. | |||||
書誌情報 |
Information 巻 12, 号 5, p. 1165-1182, 発行日 2009-12 |
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出版社 | ||||||
出版者 | International Information Institute | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1343-4500 | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1344-8994 | |||||
著作権関連情報 | ||||||
権利情報 | ©2009 International Information Institute | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Netflix | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | collaborative filtering | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | k-nearest neighbor | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | matrix | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | decomposition | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | singular-value decomposition | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | combination method | |||||
出版タイプ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
査読の有無 | ||||||
値 | yes | |||||
研究者情報 | ||||||
https://hyokadb02.jimu.kyutech.ac.jp/html/228_ja.html | ||||||
連携ID | ||||||
110 | ||||||
資料タイプ | ||||||
内容記述タイプ | Other | |||||
内容記述 | Journal Article | |||||
著者別名 | ||||||
姓名 | Hirose, Hideo | |||||
言語 | en | |||||
姓名 | 廣瀬, 英雄 | |||||
言語 | ja | |||||
姓名 | ヒロセ, ヒデオ | |||||
言語 | ja-Kana | |||||
著者別名 | ||||||
姓名 | 滝本, 清仁 | |||||
著者所属 | ||||||
Kyushu Institute of Technology, Department of Systems Design and Informatics | ||||||
著者所属 | ||||||
Kyushu Institute of Technology, Department of Systems Design and Informatics | ||||||
著者所属 | ||||||
九州工業大学,システム創成情報工学科 | ||||||
著者所属 | ||||||
九州工業大学,システム創成情報工学科 | ||||||
情報源 | ||||||
識別子タイプ | URI | |||||
関連識別子 | http://www.information-iii.org/ | |||||
関連名称 | http://www.information-iii.org/ |