Fair-SRS: A Fair Session-based Recommendation System.
Naime Ranjbar Kermany|Jian Yang|Jia Wu|Luiz Pizzato
| Anthology ID: | DBLP:conf/wsdm/KermanyY0P22 |
|---|---|
| Volume: | WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022 |
| Year: | 2022 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 1601-1604 |
| URL: | https://doi.org/10.1145/3488560.3502191 |
| DOI: | https://doi.org/10.1145/3488560.3502191 |
| DBLP: | conf/wsdm/KermanyY0P22 |
| BibTeX: |
@inproceedings{kermany-2022-fairsrs,
author = {Naime Ranjbar Kermany and
Jian Yang and
Jia Wu and
Luiz Pizzato},
editor = {K. Sel\c{c}uk Candan and
Huan Liu and
Leman Akoglu and
Xin Dong and
Jiliang Tang},
title = {{Fair-SRS: A Fair Session-based Recommendation System}},
booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}},
pages = {1601--1604},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3488560.3502191},
doi = {https://doi.org/10.1145/3488560.3502191}
}