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A collaborative filtering based movie recommendation system, that uses user-item based model to recommend movies.

Procfile 0.02% Python 3.71% HTML 82.83% CSS 4.77% JavaScript 8.67%

movie-recommendation-system's Introduction

Movie-Recommendation-System

This repository contains a collaborative filtering based movie recommendation system, that uses user-item based model to recommend movies.


The Dataset

The dataset used in this project is a TMDB dataset of 5000 movies and is available here

Dependencies

To run this project live on a localhost, you need to first install the dependencies from your terminal:

  • Flask
pip install flask
  • gunicorn
pip install gunicorn
  • sklearn
pip install sklearn
  • pandas
pip install pandas

Run the project

To run the project

  • Download the zip file from this repository.
  • Export it on your local machine.
  • Open the terminal and go to the destination folder.
  • Run the below command:
flask run
  • You will get a localhost server link.
  • Open the link in your browser.

movie-recommendation-system's People

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