Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework

Wei-Wei Du, Wei-Yao Wang, Wen-Chih Peng. Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework. In Georgios Drakopoulos, Eleanna Kafeza, editors, Proceedings of the CIKM 2022 Workshops co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, USA, October 17-21, 2022. Volume 3318 of CEUR Workshop Proceedings, CEUR-WS.org, 2022. [doi]

@inproceedings{DuWP22,
  title = {Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework},
  author = {Wei-Wei Du and Wei-Yao Wang and Wen-Chih Peng},
  year = {2022},
  url = {http://ceur-ws.org/Vol-3318/short10.pdf},
  researchr = {https://researchr.org/publication/DuWP22},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the CIKM 2022 Workshops co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, USA, October 17-21, 2022},
  editor = {Georgios Drakopoulos and Eleanna Kafeza},
  volume = {3318},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}