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} }