Open AccessMovie Recommenadation System
Author(s) -
Gandhali Malve,
Lajree Lohar,
Tanay Malviya,
Shirish Sabnis
Publication year - 2021
Publication title -
international journal on recent and innovation trends in computing and communication
Language(s) - English
Resource type - Journals
ISSN - 2321-8169
DOI - 10.17762/ijritcc.v9i4.5460
Subject(s) - recommender system , computer science , preference , the internet , world wide web , rating system , internet users , information retrieval , internet privacy , environmental economics , economics , microeconomics
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.