Online Recommendation helps users to recommend products friends to their friends or any other but it is quite difficult to recommend something to anyone without knowing his/her interest the same difficulty is occurred while recommending movies to users. Each user has its own interest and thoughts about movies. So for this in this paper a movie recommendation technique is proposed in which collaborative filtering is used to recommend movies according to user’s interests and rating. To implement proposed mechanism Python language is used and to analyze performance of proposed mechanism real dataset is used which is collected from Netflix website.

Online Social Networks, Netflix, Movie, Recommendation and Collaborative Filtering

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