Mitigating Exposure Bias in Online Learning to Rank Recommendation: A Novel Reward Model for Cascading Bandits.
Masoud Mansoury|Bamshad Mobasher|Herke van Hoof
| Anthology ID: | DBLP:conf/cikm/MansouryMH24 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1638-1648 |
| URL: | https://doi.org/10.1145/3627673.3679763 |
| DOI: | https://doi.org/10.1145/3627673.3679763 |
| DBLP: | conf/cikm/MansouryMH24 |
| BibTeX: |
@inproceedings{mansoury-2024-mitigating,
author = {Masoud Mansoury and
Bamshad Mobasher and
Herke van Hoof},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Mitigating Exposure Bias in Online Learning to Rank Recommendation: A Novel Reward Model for Cascading Bandits}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {1638--1648},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679763},
doi = {https://doi.org/10.1145/3627673.3679763}
}