Foundation of Movie Recommendation System for Modern Day Applications
11 Pages Posted: 17 Aug 2020
Date Written: March 1, 2020
Abstract
The system is a movie recommendation system which predicts the most favourable movies to a user using the user’s past behaviour . The system uses clustering algorithm to group similar movies, followed by cosine similarity and collaborative filtering to predict ratings of clustered movies in descending order that is the movie with highest rating on the top and so on.The system is best suited for users who have record of watching movies.
Keywords: Clustering, Filtering , System Collaborative Recommender
Suggested Citation: Suggested Citation
Diwan, Mitali and Choudhury, Tanupriya and Tomar, Ravi, Foundation of Movie Recommendation System for Modern Day Applications (March 1, 2020). 5th International Conference on Next Generation Computing Technologies (NGCT-2019), Available at SSRN: https://ssrn.com/abstract=3672951 or http://dx.doi.org/10.2139/ssrn.3672951
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