ARCHIVES

Research Article

Cine hunt: Movie Recommendation Engine

Aneez Rahman1Edwin Saju2E S Amal Akhtar3Neetha K Nataraj4

¹²³⁴ Dept. of CSE, Adi Shankara Institute of Engineering and Technology, Kalady, Kerala, India.

Published Online: May-June 2022

Pages: 628-631

Cite this article

No DOI
Check for updates unavailable

Abstract

View PDF

Abstract— The main objective of the project is develop a web application which recommends movies using user based collaborative filtering. Recommendation system produce a ranked list of items on which the user might be interested .Helps in deciding which movie to see the next Depends on users rating and likes and dislikes Can be contructed in collaborative filtering , content based approach and hybrid models. Content based – It recommends other movies which are similar to selected user .Collaborative filtering – It recommends movies which are rated highly by the similar users.

Related Articles

2022

A Survey Paper on Recommendation System for Placement Interview Title

2022

Drug Recommendations Based On Aspect Level Reviews Using Machine Learning Algorithms

2022

Applications of X-Ray Diffraction in Civil Engineering

2022

Analysis of Emission and Power Using Acetylene Gas in SI Engine

2022

Pillbox: Automatic Pill Recognition and Recommendation System Using Deep Learning Techniques and IoT

2022

Engineering Products Needs to be Restricted to Local Manufacturers

2022

Crop Recommendation and Disease Prediction System for Kitchen Garden

2022

Cine hunt: Movie Recommendation Engine

2022

Performance characteristics of a diesel engine in optimized PCCI-DI combustion mode

2022

Dieseline Ratio Impacts on Emissions in Optimized PCCI-DI Combustion in Diesel Engine