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：2017
卷号：5
期号：4
页码：7478
DOI：10.15680/IJIRCCE.2017.05040174
出版社：S&S Publications
摘要：Recommender systems are integral part of any ecommerce store in order to sustain and compete withother growing businesses. There are various recommendation techniques which are used to appropriately recommend aproduct to the active user. This paper provides different ways/ techniques to evaluate the data from an online retailer forthe efficiency, scalability, and accuracy thereby providing appropriate recommended product by a recommendersystem. In this paper we define and describe techniques like content-based recommendation system, collaborativerecommendation system, context aware recommendation system, knowledge based recommendation, hybrid systemsand so on. This paper also describes various challenges faced by each of the recommendation systems which can beovercome by using the hybrid systems.
关键词：Recommender system; Content based recommendation; Collaborative filtering; Hybrid approach
