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- W2019496768 abstract "This paper considers a new approach to user clustering in collaborative filtering. Collaborative filtering is a technique for reducing information overload and is achieved by predicting the applicability of items to user. In neighborhood-based algorithms, the applicability is given by the weighted averages of ratings of neighbors. The new clustering method plays a role for selecting the neighbors based on a perceptual approach, in which users and items are partitioned into two clusters by balancing a general signed graph composed of alternative evaluations on items by users." @default.
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- W2019496768 date "2008-08-01" @default.
- W2019496768 modified "2023-09-23" @default.
- W2019496768 title "A perceptual approach to user clustering in collaborative filtering" @default.
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- W2019496768 doi "https://doi.org/10.1109/grc.2008.4664762" @default.
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