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Recommender systems attempt to predict the preference/ratings that a user would give to an item. Traditional collaborative filtering give recommendation to a user based on its similarity of ratings with the ratings of other users in the system. But they face issues such as sparsity, cold start problem, first rater problem and scalability. In the proposed framework, a user is being recommended by filtering...