Complete Recommender Project (Clean .py files)

This project is a clean, executable recommender system demo with expanded synthetic MovieLens-style data. Everything is organized into .py modules — no notebooks included.

Structure

• data/ : contains movies.csv and ratings.csv (expanded synthetic dataset)
• models/ : matrix_factorization.py, deep_learning_model.py
• utils/ : preprocess.py
• main.py : entry point that trains MF and DL models
• requirements.txt : Python package requirements

Quick start

1. Create virtualenv and activate it: python -m venv venv source venv/bin/activate # or venv\Scripts\activate on Windows
2. Install requirements: pip install -r requirements.txt
3. Run demo: python main.py

The script will print progress for Matrix Factorization training (SGD) and for the PyTorch neural recommender.