Effective and Privacy-preserving Federated Online Learning to Rank.
Shuyi Wang|Bing Liu|Shengyao Zhuang|Guido Zuccon
| Anthology ID: | DBLP:conf/ictir/WangLZZ21 |
|---|---|
| Volume: | ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Canada, July 11, 2021 |
| Year: | 2021 |
| Venue: | International Conference on the Theory of Information Retrieval (ICTIR) |
| Publisher: | ACM |
| Pages: | 3-12 |
| URL: | https://doi.org/10.1145/3471158.3472236 |
| DOI: | https://doi.org/10.1145/3471158.3472236 |
| DBLP: | conf/ictir/WangLZZ21 |
| BibTeX: |
@inproceedings{wang-2021-effective,
author = {Shuyi Wang and
Bing Liu and
Shengyao Zhuang and
Guido Zuccon},
editor = {Faegheh Hasibi and
Yi Fang and
Akiko Aizawa},
title = {{Effective and Privacy-preserving Federated Online Learning to Rank}},
booktitle = {{ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Canada, July 11, 2021}},
pages = {3--12},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3471158.3472236},
doi = {https://doi.org/10.1145/3471158.3472236}
}