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This study proposes a novel collaborative filtering framework which integrates both subjective and objective information to generate recommendations for an active consumer. The proposed framework can solve the problem of sparsity and the cold-start problem which affect traditional CF algorithms. The fuzzy linguistic model, which is a more natural way for the consumer to present their preferences,...
Collaborative Filtering (CF) has been applied to many commercial systems successfully, such as IMDB, Netflix and son on. The basic idea of a CF system is to generate recommendations based on the experiences of past similar users. The users' option can be categorized into objective and subject information. The former was furnished by the common users and the later represents solicit opinions provided...
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