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Zhi-Peng Zhang, Yasuo Kudo, Tetsuya Murai and Yong-Gong Ren
Recommender systems (RS) analyze user rating information and recommend items that may interest users. Item-based collaborative filtering (IBCF) is widely used in RSs. However, traditional IBCF often cannot provide recommendations with good predictive and...
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Zhi-Peng Zhang, Yasuo Kudo, Tetsuya Murai and Yong-Gong Ren
Recommender system (RS) can be used to provide personalized recommendations based on the different tastes of users. Item-based collaborative filtering (IBCF) has been successfully applied to modern RSs because of its excellent performance, but it is susc...
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Natsuo Ishiwata, Yuki Iwai, Ryota Murai, Yoshitaka Sawa and Michitaka Sato
Pág. 1353 - 1359
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Yoichi Ito, Takeshi Murai, Yuji Miki, Masayuki Mitsuzono and Takatoshi Goto
Pág. 1454 - 1460
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H.-D. Bae, K. Kitaguchi, F. Horio, and A. Murai
Pág. 1703 - 1711
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Minoru Asanuma,Tatsuro Ariyama,Michitaka Sato,Ryota Murai,Toshiharu Nonaka,Iwao Okochi,Hideaki Tsukiji and Kenichi Nemoto
Pág. 244 - 251
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Ohkami, T; Murai, J-I
Pág. 497 - 504
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