Bribery-Resistant Ranking Systems: A Multipartite User-Agnostic Framework for AI Act Compliance.
Martim Baltazar|Ludovico Boratto|Mirko Marras|Guilherme Ramos
| Anthology ID: | DBLP:conf/ecir/BaltazarBMR26 |
|---|---|
| Volume: | Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part I |
| Year: | 2026 |
| Venue: | European Conference on Advances in Information Retrieval (ECIR) |
| Publisher: | Springer |
| Pages: | 497-511 |
| URL: | https://doi.org/10.1007/978-3-032-21289-4_32 |
| DOI: | https://doi.org/10.1007/978-3-032-21289-4_32 |
| DBLP: | conf/ecir/BaltazarBMR26 |
| BibTeX: |
@inproceedings{baltazar-2026-briberyresistant,
author = {Martim Baltazar and
Ludovico Boratto and
Mirko Marras and
Guilherme Ramos},
editor = {Ricardo Campos and
Adam Jatowt and
Yanyan Lan and
Mohammad Aliannejadi and
Christine Bauer and
Sean MacAvaney and
Avishek Anand and
Zhaochun Ren and
Suzan Verberne and
Nan Bai and
Masoud Mansoury},
title = {{Bribery-Resistant Ranking Systems: A Multipartite User-Agnostic Framework for AI Act Compliance}},
booktitle = {{Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part I}},
series = {Lecture Notes in Computer Science},
volume = {16483},
pages = {497--511},
publisher = {Springer},
year = {2026},
url = {https://doi.org/10.1007/978-3-032-21289-4_32},
doi = {https://doi.org/10.1007/978-3-032-21289-4_32}
}