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In today’s world where there is a plethora of movies to choose from in any medium, recommendation systems play a crucial role in reducing the search time for the movie watchers by recommending them the most relevant movies that they would most probably like. There are a wide range of approaches and techniques which are used for recommending movies. While some techniques reflect the current trend and popularity of movies, others are able to capture and analyze the past behavior of the viewer and make recommendations accordingly. Recommendation systems are an integral part of companies such as Netflix, Amazon Prime, Hulu and various others to ensure that their customers have a pleasant experience which in turn would boost the company’s profits. This study discusses and analyses the various approaches and techniques used for the recommendation of movies.

Implementation of Popular Techniques for Movie Recommendations