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