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TYPICALITY-BASED COLLABORATIVE FILTERING RECOMMENDATION ¬†ABSTRACT: Collaborative filtering (CF) is an important and popular technology for recommender systems. However, current CF methods suffer from such problems as data sparsity, recommendation inaccuracy and big-error in predictions. In this paper, we borrow ideas of object typicality from cognitive psychology and propose a novel typicality-based collaborative filtering recommendation method […]

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