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Content-based book recommending using learning for text categorization

ACM DL, (2000): 195-204

Cited by: 1802|Views66
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Abstract

Recommender systems improve access to relevant products and information by making personalized suggestions based on previous examples of a user's likes and dislikes. Most existing recommender systems use collaborative filtering methods that base recommendations on other users' preferences. By contrast,content-based methods use information...More

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