MultiBeerBandits / recsys_challenge_2017

Set of music recommendation algorithms we implemented to join the annual RecSys Competition at Politecnico di Milano in 2017.

bayesian-optimization bpr challenge funk-svd genetic-algorithm hybrid-recommender-system kaggle matrix-factorization recommender-system slim

recsys_challenge_2017

Run script

cd src python -m src.scripts.script

In this way python knows script is a submodule of src and knows where to look for other packages

About

Set of music recommendation algorithms we implemented to join the annual RecSys Competition at Politecnico di Milano in 2017.

bayesian-optimization bpr challenge funk-svd genetic-algorithm hybrid-recommender-system kaggle matrix-factorization recommender-system slim

Languages

Language:Jupyter Notebook 82.1%Language:Python 8.7%Language:HTML 6.2%Language:Rich Text Format 2.9%Language:C++ 0.1%Language:CMake 0.0%