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Weight based movie recommendation system using K-means algorithm

Author Affiliations
East Delta University, Kookmin University
Year2017
Citations33

Abstract

There are a diverse set of products for a particular type on the internet. When any user tries to find out best product among a certain type it is very much difficult to do it manually go through every one of them. That's why manually searching is not very efficient. In that scenario, recommendation system plays a great important role to recommend the best products. In this study, we develop a recommendation system for the organization that works with movies. Our recommendation system recommends movies based on user data. It takes the users data from the user's activity and based on that data it recommends the movies to the user. When our recommender system tries to recommend the movies to…
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