Product Recommender 📝 using Reinforcement Learning (RL)

This repository consists of Recommendation Engine built based on the ratings given for beauty products in Amazon website.

Solution details

The solution here is built using a RL based multi-arm bandit algorithm called UCB1. The implementation covers both generic recommendations and cold-start recommendations.

To get started

About the Dataset

The dataset is used contains ratings corresponding to beauty products in Amazon. Source : Kaggle

Libraries required

1. Pandas
2. Numpy
3. Scikit-learn
4. Yellow-brick