Abstract

One of the major data mining applications is Recommender System. It is the intelligent system that basically investigate the dataset present in existing system and based on which it will give some suggestions to the user regarding further process. This paper discuss various techniques proposed for recommendations including content based, collaborative based and other techniques. To improve performance, these methods have sometimes been combined in hybrid recommenders. It also discuss about growing area of research in the area of recommender systems that is mobile recommender systems.

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