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User-based collaborative filtering recommendation system and method for amending similarity using information entropy
User-based collaborative filtering recommendation system and method for amending similarity using information entropy
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机译:基于用户的基于信息熵的相似度过滤推荐系统及方法
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摘要
The present invention relates to a user-based collaborative filtering recommendation method and system and, more specifically, relates to a user-based collaborative filtering recommendation method and system which amends the similarity between the recommend probable user and the other user to improve the accuracy in the prediction of preference by using the relation between the user preference information entropies of the recommend probable user and the other user.
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