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}
}