Movie Recommender System

A simple recommender system to provide movie recommendations to a user in the existing dataset.

Description

This is a simple recommender system built to generate movie recommendations for all the users in the available dataset. It uses Singular Value Decomposition by Stochastic Gradient Descent technique to predict ratings for all user-item pairs and gives recommendations on the basis of this predicted data.

Tools

This program is built in Python 3.7 .It uses numpy,pandas,matplotlib & seaborn Python modules.

Datasets

movies.csv

This dataset contains information(movieId,title,genres) about all of the movies available in the data.

ratings.csv

This dataset contains information(userId,movieId,rating,timestamp) about all of the user movie ratings in the data.