Improving Fairness and Transparency for Artists in Music Recommender Systems.

Karlijn Dinnissen


Anthology ID:DBLP:conf/sigir/Dinnissen22
Volume:SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
Year:2022
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:3498
URL:https://doi.org/10.1145/3477495.3531681
DOI:https://doi.org/10.1145/3477495.3531681
DBLP:conf/sigir/Dinnissen22
BibTeX:
@inproceedings{dinnissen-2022-improving, author = {Karlijn Dinnissen}, editor = {Enrique Amig\'{o} and Pablo Castells and Julio Gonzalo and Ben Carterette and J. Shane Culpepper and Gabriella Kazai}, title = {{Improving Fairness and Transparency for Artists in Music Recommender Systems}}, booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}}, pages = {3498}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3477495.3531681}, doi = {https://doi.org/10.1145/3477495.3531681} }