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Introduction

This project implements a movie recommendation system using the MovieLens 100k dataset. The system combines two recommendation approaches: content-based and demographic-based, to provide personalized movie suggestions to users.

Features

  • Content-Based Recommendations: Suggests movies based on user preferences and content similarity.
  • Demographic-Based Recommendations: Considers user demographics for tailored movie suggestions.

Prerequisites

Before running the project, ensure you have the following installed:

  • Python 3.6 or above
  • pip

Author

  • Name: Mostafa Kira
  • Email: [email protected]
  • Studies in group B21-DS02 at Innopolis University