Movie Recommenadation System

Main Article Content

Gandhali Malve
Lajree Lohar
Tanay Malviya
Shirish Sabnis

Abstract

Today the amount of information in the internet growth very rapidly and people need some instruments to find and access appropriate information. One of such tools is called recommendation system. Recommendation systems help to navigate quickly and receive necessary information. Many of us find it difficult to decide which movie to watch and so we decided to make a recommender system for us to better judge which movie we are more likely to love. In this project we are going to use Machine Learning Algorithms to recommend movies to users based on genres and user ratings. Recommendation system attempt to predict the preference or rating that a user would give to an item.

Article Details

How to Cite
Malve, G., L. . Lohar, T. . Malviya, and S. . Sabnis. “Movie Recommenadation System”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 9, no. 4, Apr. 2021, pp. 13-16, doi:10.17762/ijritcc.v9i4.5460.
Section
Review Paper