đź’ˇ This is the official code of team wwweiwei to the EvalRS Data Challenge. We won the fouth place. For more details, please refer to our paper and brief introduction in our blog.
- Build environment
pip install -r /path/to/requirements.txt
- Place your
upload.env
in the root folder.
python submission.py
- Notes: Our proposed metric MR-ITF will automatically report in the corresponding json file with other standard metric.
- Proposed Framework: Track2Vec
- Proposed Fairness Metric: Miss Rate - Inverse Ground Truth Frequency (MR-ITF)
If you find our work is relevant to your research, please cite:
@inproceedings{DBLP:conf/cikm/DuWP22,
author = {Wei{-}Wei Du and
Wei{-}Yao Wang and
Wen{-}Chih Peng},
title = {Track2Vec: fairness music recommendation with a GPU-free customizable-driven
framework},
booktitle = {{CIKM} Workshops},
series = {{CEUR} Workshop Proceedings},
volume = {3318},
publisher = {CEUR-WS.org},
year = {2022}
}