Employing rough set theory to alleviate the sparsity issue in recommender system

Abstract

Recommender systems represent personalized services that aim at predicting a userpsilas interest on information items available in the application domain, using userspsila ratings on items. Poor quality is one major challenge in collaborative filtering recommender systems. Sparsity of userspsila ratings is the major reason causing the poor quality. The… (More)

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