This repo was used for the Kaggle Competition of Politecnico di Milano students on a song recommender system. It contains a various number of recommender:

• Item and User based collaborative filter algorithms
• Content based algorithms
• SLIM and ElasticNet models
• Pure SVD and other Matrix Facotrizaion techniques
• Hybrid models

Some other techniques such as XGBoost and Neural Netowrk models were tested and can be found in the project.

Federico Betti
Raffaele Bongo