文章基本信息

标题：Feature Analysis of Recommender Techniques Employed in the Recommendation Engines
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作者：Gopinath Ganapathy ; P. K. Arunesh
期刊名称：Journal of Computer Science
印刷版ISSN：1549-3636
出版年度：2010
卷号：6
期号：7
页码：748-755
DOI：10.3844/jcssp.2010.748.755
语种：English
出版社：Science Publications
摘要：Problem statement: Recommender Systems (RS) have become a widely researched area as it is extensively used in web usage mining and E-commerce platforms. Approach: There were a number of recommender systems available to suggest the web pages for the web users. Results: A recommender system acted as an intelligent intermediary that automatically generates and predicts information and web pages, which suit the users
关键词：Recommender systems; recommendation engines; estimation methods; extensions to recommender systems