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

@inproceedings{du-2022-track2vec, author = {Wei-Wei Du and Wei-Yao Wang and Wen-Chih Peng}, editor = {Georgios Drakopoulos and Eleanna Kafeza}, title = {{Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework}}, 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}}, series = {CEUR Workshop Proceedings}, volume = {3318}, publisher = {CEUR-WS.org}, year = {2022}, url = {https://ceur-ws.org/Vol-3318/short10.pdf} }