期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：10
页码：14899-14904
DOI：10.18535/ijecs/v4i10.48
出版社：IJECS
摘要：With the growing expansion of information on World Wide Web, web sites are facing challenges to meet their customers’ needs topresent them with the information they are interested in. Recommender systems have emerged as a solution to this issue.Recommender system makes predictions for the users based on the analysis of their past behaviour. It is majorly classified in threecategories which include: content based collaborative filtering and hybrid recommender system. Recommender systems havebecome an integral part of internet. They are becoming popular in the area of data mining, information filtering and e-commerce.In this paper, we have presented our study of various recommender techniques. We have also described the limitations of variousrecommendation techniques
关键词：Recommender system; Content Based; Collaborative filtering; Hybrid Recommender System
