hyperFA*IR: A hypergeometric approach to fair rankings with finite candidate pool
- DOI
- 10.1145/3715275.3732143
- Published
- 2025-06-23
- Container
- Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency
- Publisher
- ACM
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1145/3715275.3732143,
title = {hyperFA*IR: A hypergeometric approach to fair rankings with finite candidate pool},
author = {Mauritz N. Cartier van Dissel and Samuel Martin-Gutierrez and Lisette Espín-Noboa and Ana María Jaramillo and Fariba Karimi},
year = {2025},
journal = {Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency},
doi = {10.1145/3715275.3732143},
url = {https://doi.org/10.1145/3715275.3732143}
}RIS
TY - JOUR TI - hyperFA*IR: A hypergeometric approach to fair rankings with finite candidate pool AU - Mauritz N. Cartier van Dissel AU - Samuel Martin-Gutierrez AU - Lisette Espín-Noboa AU - Ana María Jaramillo AU - Fariba Karimi PY - 2025 JO - Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency DO - 10.1145/3715275.3732143 UR - https://doi.org/10.1145/3715275.3732143 ER -
APA
Dissel, M. N. C. V., Martin-Gutierrez, S., Espín-Noboa, L., Jaramillo, A. M., & Karimi, F. (2025). hyperFA*IR: A hypergeometric approach to fair rankings with finite candidate pool. Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency. https://doi.org/10.1145/3715275.3732143
Source records
- crossref · retrieved 2026-11-06T11:15:44.673Z