期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2012
卷号：1
期号：9
页码：219-225
出版社：Shri Pannalal Research Institute of Technolgy
摘要：With the advent of emerging technologies and the rapid growth of Internet, the world is moving towards e-world where most of the things are digitized and available on a mouse click. Most of the commercial transactions are performed on Internet with the help of on-line shopping. The huge amount of data puts an extra overload to the user in performing on-line task. Product recommendation techniques are being used widely to reduce this extra overload and recommend the scrutinized product to the customers. Collaborative filtering, Association rules and web mining are on top amongst the techniques that is being used for recommendation technology. In this paper we try to give an overview of these recommendation techniques with suitable examples and illustrative diagrams, and change of trends in it with respect to time. Various diagrammatic representations are illustrated. Also a future direction of research in this area is indicated. And finally we conclude that there is a need of an extra effort to overcome limitations in existing techniques.
关键词：Collaborative Filtering; E-commerce; ; Product Recommendation; Web Mining
