WSDM Cup 2019 - Spotify - Sequential Skip Prediction Challenge - 7th place solution

You can find a report about my solution here

To know more about the challenge, refer the following links:

• https://www.crowdai.org/challenges/spotify-sequential-skip-prediction-challenge
• http://www.wsdm-conference.org/2019/wsdm-cup-2019.php

This repository's contents are shared under the Apache License 2.0.

To reproduce, follow the steps in order:

1. Download the dataset from the CrowdAI website.
2. (Optional) Create sample datasets using the 04-create-samples.ipynb notebook.
3. Train the models using the 05-train-each-len.py script.
4. (Optional) Evaluate the models on the validation set using 06-predict-each-len-val-set.py.
5. Process the test data using the 07-process-test-file.py.
6. Finally, the submission file can be created by using the 09-create-submission-one-test-file.py script.

Citing

@article{adapa2019sequential,
  title={Sequential modeling of Sessions using Recurrent Neural Networks for Skip Prediction},
  author={Adapa, Sainath},
  journal={arXiv preprint arXiv:1904.10273},
  year={2019}
}