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Personalized music recommender system using user contents
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The user preference can be predicted e®ectively by item-based CF. The evaluation results show that our proposed music recommender system performs better than the state-of-the-arts methods in terms of Root Mean Squared Error.
16p
redemption
20-12-2021
35
7
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The vast amount of information available on the Internet, coupled with the diversity of user information needs, have urged the development of personalized systems that are capable of distinguishing one user from the other in order to provide content, services and information tailored to individual users. Recommender Systems (RS) form a special category of such personalized systems and aim to predict user’s preferences based on her previous behavior.
764p
ptng13
25-06-2012
191
23
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