Foundation of Movie Recommendation System for Modern Day Applications

11 Pages Posted: 17 Aug 2020

See all articles by Mitali Diwan

Mitali Diwan

University of Petroleum and Energy Studies (UPES), Students

Tanupriya Choudhury

University of Petroleum and Energy Studies (UPES)

Ravi Tomar

University of Petroleum and Energy Studies (UPES)

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

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

Mitali Diwan

University of Petroleum and Energy Studies (UPES), Students ( email )

India

Tanupriya Choudhury

University of Petroleum and Energy Studies (UPES) ( email )

Energy Acres
P.O. Bidholi via Premnagar,
Dehradun, IN Uttarakhand 248007
India

Ravi Tomar (Contact Author)

University of Petroleum and Energy Studies (UPES) ( email )

Energy Acres
P.O. Bidholi via Premnagar,
Dehradun, IN Uttarakhand 248007
India

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