Survey on Data Mining Techniques for Recommendation Systems
نویسنده
چکیده
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.
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تاریخ انتشار 2015