Mitigating Mainstream Bias in Recommendation via Cost-sensitive Learning.

Roger Zhe Li|Julián Urbano|Alan Hanjalic


Anthology ID:DBLP:conf/ictir/LiUH23
Volume:Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2023, Taipei, Taiwan, 23 July 2023
Year:2023
Venue:International Conference on the Theory of Information Retrieval (ICTIR)
Publisher:ACM
Pages:135-142
URL:https://doi.org/10.1145/3578337.3605134
DOI:https://doi.org/10.1145/3578337.3605134
DBLP:conf/ictir/LiUH23
BibTeX:
@inproceedings{li-2023-mitigating, author = {Roger Zhe Li and Juli\'{a}n Urbano and Alan Hanjalic}, editor = {Masaharu Yoshioka and Julia Kiseleva and Mohammad Aliannejadi}, title = {{Mitigating Mainstream Bias in Recommendation via Cost-sensitive Learning}}, booktitle = {{Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2023, Taipei, Taiwan, 23 July 2023}}, pages = {135--142}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3578337.3605134}, doi = {https://doi.org/10.1145/3578337.3605134} }