These are the dataset and implementation for the paper:
Jiayu Li, Zhiyu He, Yumeng Cui, Chenyang Wang, Chong Chen, Chun Yu, Min Zhang, Yiqun Liu, and Shaoping Ma, 2022. Towards Ubiquitous Personalized Music Recommendation with Smart Bracelets. In IMWUT2022
Please cite the paper if you use the datasets or codes.
@article{li2022towards,
title={Towards Ubiquitous Personalized Music Recommendation with Smart Bracelets},
author={Li, Jiayu and He, Zhiyu and Cui, Yumeng and Wang, Chenyang and Chen, Chong and Yu, Chun and Zhang, Min and Liu, Yiqun and Ma, Shaoping},
journal={Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies},
volume={6},
number={3},
pages={1--34},
year={2022},
publisher={ACM New York, NY, USA}
}
If you have any problem about this work or the dataset, please raise the issues or contact with Min Zhang at z-m@tsinghua.edu.cn.
We select 1000 music tracks from the Million Song Dataset, and perform a one-week field study with 30 participants. During the field study, participants would listen to the recommended music, record their mood and preference ratings as feedback. Detailed explanations are shown in data/README.md.
To run the codes, first run: pip install -r requirements.txt
Examples for running the codes are shown in src/run.sh.
cd src/
bash run.sh