TOWARDS A HYBRID PERSONALIZED MOVIE RECOMMENDER SYSTEM

Abstract

Recommender systems represent a powerful method for enabling users to filter through wide verity of information. Research in the recommender system is moving in the direction of a richer understanding of how recommender technology may be embedded in specific domains. A recommendation system for movies is important in our social life to provide the  enhanced entertainment .There are two major recommendation techniques –Collaborative and content based filtering but these filtering techniques are having some limitations thus an hybrid approach is often adopted. The proposed movie recommender system has an ability to recommend user specific movie by using their social networking site like Facebook data. This provides the generalized framework for personalized movie recommendation.