Continuous Optimization for Item Selection in Collaborative Filtering(Biocybernetics, Neurocomputing)
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概要
- 論文の詳細を見る
A method is presented for selecting items asked for new users to input their preference rates on those items in recommendation systems based on the collaborative filtering. Optimal item selection is formulated by an integer programming problem and we solve it by using a kind of the Hopfield-network-like scheme for interior point methods.
- 社団法人電子情報通信学会の論文
- 2004-07-01
著者
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Inoue Kohei
Faculty Of Design Kyushu University
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Urahama Kiichi
Faculty Of Computer Science And Systems Engineering Kyushu Institute Of Technology
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