What Data is Really Necessary? A Feasibility Study of Inference Data Minimization for Recommender Systems.

Jens Leysen|Marco Favier|Bart Goethals


Anthology ID:DBLP:conf/cikm/LeysenFG25
Volume:Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
Year:2025
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:1519-1529
URL:https://doi.org/10.1145/3746252.3761058
DOI:https://doi.org/10.1145/3746252.3761058
DBLP:conf/cikm/LeysenFG25
BibTeX:
@inproceedings{leysen-2025-data, author = {Jens Leysen and Marco Favier and Bart Goethals}, editor = {Meeyoung Cha and Carl Yang and Senjuti Basu Roy and Chanyoung Park and Zhenhui Jessie Li and Noseong Park and Carl Yang and Senjuti Basu Roy and Zhenhui Jessie Li and Jaap Kamps and Kijung Shin and Bryan Hooi and Lifang He}, title = {{What Data is Really Necessary? A Feasibility Study of Inference Data Minimization for Recommender Systems}}, booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}}, pages = {1519--1529}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3746252.3761058}, doi = {https://doi.org/10.1145/3746252.3761058} }