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COLLABORATIVE FILTERING RECOMMENDER SYSTEM BASED ON SIMILARITY MEASURES USING THE ORIGIN MOMENT OF DIFFERENCE RANDOM VARIABLE
COLLABORATIVE FILTERING RECOMMENDER SYSTEM BASED ON SIMILARITY MEASURES USING THE ORIGIN MOMENT OF DIFFERENCE RANDOM VARIABLE
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机译:基于差分随机变量原点的相似度量的协同过滤推荐系统
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摘要
PURPOSE: A collaborative filtering recommendation system and a similarity table construction method based on similarity measure using origin moment of a difference random variable are provided to improve preference prediction efficiency by supplementing a problem generating a cold start condition when predicting a preference of a user. CONSTITUTION: A preference data receiver(1) receives preference about an item. A performance measurer(2) calculates an error of an item preference received from user and a preference anticipated in past and measures the performance of a system. A similarity measurer measures a user similarity and/or item similarity by using a similarity method of measurement.
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