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Without considering the difference in user profiles and user rated items, traditional User-Based collaborative filtering recommendation algorithm only considers the users' score on the item when calculates the similarity between users. In order to get rid of disadvantages of traditional methods, this paper proposes a collaborative filtering algorithm of selecting neighbors based on user profiles and...
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