FairUP: A Framework for Fairness Analysis of Graph Neural Network-Based User Profiling Models.
Mohamed Abdelrazek|Erasmo Purificato|Ludovico Boratto|Ernesto William De Luca
| Anthology ID: | DBLP:conf/sigir/AbdelrazekPBL23 |
|---|---|
| Volume: | Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023 |
| Year: | 2023 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 3165-3169 |
| URL: | https://doi.org/10.1145/3539618.3591814 |
| DOI: | https://doi.org/10.1145/3539618.3591814 |
| DBLP: | conf/sigir/AbdelrazekPBL23 |
| BibTeX: |
@inproceedings{abdelrazek-2023-fairup,
author = {Mohamed Abdelrazek and
Erasmo Purificato and
Ludovico Boratto and
Ernesto William De Luca},
editor = {Hsin-Hsi Chen and
Wei-Jou (Edward) Duh and
Hen-Hsen Huang and
Makoto P. Kato and
Josiane Mothe and
Barbara Poblete},
title = {{FairUP: A Framework for Fairness Analysis of Graph Neural Network-Based User Profiling Models}},
booktitle = {{Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023}},
pages = {3165--3169},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3539618.3591814},
doi = {https://doi.org/10.1145/3539618.3591814}
}