Collaborative Filtering Based on Correlation between Items
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概要
- 論文の詳細を見る
A method of collaborative filtering is presented. For reducing the computational cost of online estimation of the preference rates of an active user, his unknown preference ratesare estimated on the basis of correlation between items instead of user's correlations popularly used in many recommendation systems. The formulation of item's correlation is modified for decreasing the estimation errors. This modification reduces biases in preference votes of each person and hence improves the performance of the estimation.
- 社団法人電子情報通信学会の論文
- 2002-03-01
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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