Recsys Challenge 2018 - Main Track
Team: cocoplaya
Members:
- Andres Ferraro
- Dmitry Bogdanov
- Jason Yoon
- Lucas Kim
Username in recsys-challenge.spotify.com: aferraro
Instructions
In order to reproduce the recommendations submitted for the Main track of the challenge the model_main.py file must be executed.
First we train a Matrix Factorization model and then we generate the recommendations based on this model to the playlists in the challenge_set, then we combine this results with other model which computes the most probable songs based on the coocurrence in the playlists. This is all computed in the file model_main.py.
To compute the Matrix Factorization we use the library LightFM, in requirements.txt you can find all the dependencies, we use the version 3.6.4 of Python. Inside model_main.py you can specify where the MPD dataset is located and were the challenge_set is located. Also in this file you can specify where the output CSV should be placed.