MovieRecommenderSystem

This project implements a Movie Recommender System using neural collaborative filtering techniques from this paper.

It provides personalized movie recommendations based on user interactions and preferences.

Table of Contents

• Getting Started
• Usage
• Dependencies
• License

Getting Started

1. Clone this repository
2. Download the MovieLens 20M Dataset from Kaggle and save it in a folder named ml-25m in the root directory.

Usage

1. Preprocess the dataset: python preprocess.py
2. Train the model: python train.py
3. Test the model: python test.py
4. (Optional) See model architecture: python recommender_model.py

Dependencies

• Python 3.9
• TensorFlow 2.13.0 (TensorFlow-Metal 1.0.1 for ARM Mac)
• Pandas
• NumPy

License

This project is licensed under the MIT License.