Minimal-Perturbation Counterfactuals through Guided Denoising Diffusion for Recommender Systems Explanation.

Amir Reza Mohammadi|Andreas Peintner|Michael M. Müller|Eva Zangerle


Anthology ID:DBLP:conf/sigir/MohammadiPMZ26
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:1371-1381
URL:https://doi.org/10.1145/3805712.3809584
DOI:https://doi.org/10.1145/3805712.3809584
DBLP:conf/sigir/MohammadiPMZ26
BibTeX:
@inproceedings{mohammadi-2026-minimalperturbation, author = {Amir Reza Mohammadi and Andreas Peintner and Michael M. M\"{u}ller and Eva Zangerle}, 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 = {{Minimal-Perturbation Counterfactuals through Guided Denoising Diffusion for Recommender Systems Explanation}}, booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}}, pages = {1371--1381}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3809584}, doi = {https://doi.org/10.1145/3805712.3809584} }