文章基本信息

标题：A Survey on Evaluation and Improvement Techniques for Recommendation Systems
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作者：Sonali Karmalkar ; Dr. Shanta Sondur
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：10
DOI：10.15680/IJIRCCE.2015.0310054
出版社：S&S Publications
摘要：Recommender systems are no w becoming increasingly important to ind ividual users, businesses and specially e-commerce for providing personalized recommendations. Recommender systems have been evaluated and improved in many, often incomparable, ways. In this paper, we review the evaluation and improvement techniques for improving overall performance of reco mmendation systems and proposing a semantic an alysis based approach for clustering based collaborative filtering to improve the coverage of recommendatio n
关键词：recommendation system; evaluation; collaborative filtering; clustering