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ABSTRACT
Recommendation systems are information filtering tools that aspire to predict the ratings for users and items, predominantly from big data to recommend their likes. This project focuses on the movie recommendation whose primary objective is to suggest a recommendation system through data clustering and computational intelligence. A movie recommendation system is important in our social life due to its strength in providing enhanced entertainment. Such a system can suggest a set of movies to users based on their interest, or the popularities of the movies. In this project, a movie recommendation system is proposed that has the ability to recommend movies to users. It mines movies database to collect important information such as, popularity and attractiveness required to give optimum recommendation to the user.
