• SUSAN THOMAS
• JAYALEKSHMI S.

Recommender or recommendation systems are nowadays widely used. Recommendation system is a system which provides recommendations to users according to their tastes. Also it is a system that can guide the user in a personalized way. Recommender systems can be classified into: content based collaborative filtering and hybrid approach. There are number of data mining algorithms used in recommendation system. But each of it has its advantages and disadvantages. In this paper a comparison between content based and collaborative filtering techniques and the advantages and disadvantages of the algorithms used in those techniques are discussed.

Recommendation system, Content based approach, Collaborative filtering, Model based approach, Memory based approach

"Survey on Datamining Techniques for Recommendation Systems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 7, page no.3040-3045, July-2015, Available :http://www.jetir.org/papers/JETIR1507010.pdf

"Survey on Datamining Techniques for Recommendation Systems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 7, page no. pp3040-3045, July-2015, Available at : http://www.jetir.org/papers/JETIR1507010.pdf