Abstract
In today’s world many prestigious applications used recommendation systems. Some of the information filtering algorithms are used to predict preferences as per user requirements. This system saves users time in searching and provides the best user experience. Books, news, music, articles, movies, videos, etc. are the most popular areas where recommendation systems are used. When we take reference from several research papers, one thing is clear Content-Based Filtering Algorithm is used for the recommendation system. In this paper, we work on several algorithms and manipulation of results of this we get a final recommendation list based on ratings like dislike content, related content, etc. Keywords: -Contest Based Filtering, Movie Recommendation System, Vector Similarity, Text to vector, K NN Algorithm, Cosine Similarity.
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