Movie Recommendation System

Overview

This project is a simple movie recommendation system using collaborative filtering. It leverages user ratings to find and suggest movies similar to the ones users have watched and rated highly.

Features

• Uses collaborative filtering based on movie ratings.
• Computes cosine similarity between movies.
• Provides movie recommendations based on user input.
• Works with datasets like movies.csv and ratings.csv.

Dataset

The system requires the following datasets:

1. movies.csv: Contains movie information with columns:

   • movieId: Unique identifier for each movie.
   • title: The name of the movie.

2. ratings.csv: Contains user ratings with columns:

   • userId: Unique identifier for each user.
   • movieId: Movie identifier (linked to movies.csv).
   • rating: User rating for a movie.

Installation

1. Clone the repository:

   git clone https://github.com/sahankrt20/MOVIE-RECOMENDATION-SYSTEM
   cd MOVIE-RECOMENDATION-SYSTEM