文章基本信息

标题：Improving Retrieval Quality Using Hybrid Filtering in Recommendation System
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作者：Prasad P. Bansode ; Sunil N. Gengaje ; Dipak R. Mundhe 等
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：2016
卷号：4
期号：4
页码：7273
DOI：10.15680/IJIRCCE.2016.0404183
出版社：S&S Publications
摘要：Recommendation systems are used to predict items that a user may be interested in that item. The numerous of approaches has been developed for doing recommendation, containing content-based, collaborative and knowledge-based. In content based filtering and collaborative based filtering there are some drawbacks and challenges like cold-start, specialization, new user problem, trust, privacy etc..This can be avoided by using hybrid filtering which is a combination of content based filtering and collaborative based filtering. Due to hybrid filtering accuracy of prediction in recommendation system increases. Hybrid filtering can be used for improving retrieval quality in recommendation system. Most of the web services can use hybrid filtering for improving retrieval qualityin recommendation system
关键词：Collaborative Filtering Recommender Systems; Contentbased Recommender Systems; servicediscovery in serviceorientedarchitecture