ERASE - A Real-World Aligned Benchmark for Unlearning in Recommender Systems.
Pierre Sicco Lubitzsch|Jinxi Xu|Maarten de Rijke|Jinxi Xu|Maarten de Rijke|Alexander M. Fraser|Sebastian Schelter|Alexander M. Fraser|Sebastian Schelter
| Anthology ID: | DBLP:conf/sigir/LubitzschRS26 |
|---|---|
| Volume: | Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026 |
| Year: | 2026 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 3310-3318 |
| URL: | https://doi.org/10.1145/3805712.3808596 |
| DOI: | https://doi.org/10.1145/3805712.3808596 |
| DBLP: | conf/sigir/LubitzschRS26 |
| BibTeX: |
@inproceedings{lubitzsch-2026-erase,
author = {Pierre Sicco Lubitzsch and
Jinxi Xu and
Maarten de Rijke and
Jinxi Xu and
Maarten de Rijke and
Alexander M. Fraser and
Sebastian Schelter and
Alexander M. Fraser and
Sebastian Schelter},
editor = {Hannah Bast and
Alistair Moffat and
Falk Scholer and
Marc Najork and
Min Zhang and
Hannah Bast and
Marc Najork and
Min Zhang},
title = {{ERASE - A Real-World Aligned Benchmark for Unlearning in Recommender Systems}},
booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}},
pages = {3310--3318},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805712.3808596},
doi = {https://doi.org/10.1145/3805712.3808596}
}