🏛️ Description

This project explores using pyspark to build a Movie Recommendations System while using the ALS algorithm.

🏗️ Repo Structure

.
├── data
│   ├── movies.csv
│   ├── ratings.csv
├── als_recs.ipynb
└── README.md

⚙️ Data Source

Taken from the "recommended for education and development" section of: https://grouplens.org/datasets/movielens/

🛎️ How to use?

1. Clone the repo.
2. Install and configure pyspark.
3. Run the notebook 'als_recs.ipynb'

📈 Enhancements

1. Add a streamlit for a user friendly way to interact with the model
2. Develop recommending values for a new user.

⏱️ Timeline

This project took five days for completion.

📌 Personal Situation

This project was done as part of the AI Boocamp at BeCode.org.