CDR: Conservative Doubly Robust Learning for Debiased Recommendation.
Zijie Song|Jiawei Chen|Sheng Zhou|Qihao Shi|Yan Feng|Chun Chen|Can Wang
| Anthology ID: | DBLP:conf/cikm/SongC0SF0023 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 2321-2330 |
| URL: | https://doi.org/10.1145/3583780.3614805 |
| DOI: | https://doi.org/10.1145/3583780.3614805 |
| DBLP: | conf/cikm/SongC0SF0023 |
| BibTeX: |
@inproceedings{song-2023-cdr,
author = {Zijie Song and
Jiawei Chen and
Sheng Zhou and
Qihao Shi and
Yan Feng and
Chun Chen and
Can Wang},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{CDR: Conservative Doubly Robust Learning for Debiased Recommendation}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {2321--2330},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614805},
doi = {https://doi.org/10.1145/3583780.3614805}
}