Abstract
In today's e-commerce time, it has become very troublesome task to find any content of online movies, songs, books , restaurants etc. A practical recommendation scheme now very helpful and important. Nowadays, movie recommendation system are also available( Netflix, Movie lens, Amazon movie recommendation system etc.) But using a method of combination of content based and collaborative filtering, a recommender system worked and finding a customized output to user. Key Words: Content-based, Collaborative Filtering, Recommender System, Machine Learning.
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