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