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}
}