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Tom Sühr
Tom Sühr
Max Planck Institute for Intelligent Systems
Verified email at tuebingen.mpg.de - Homepage
Title
Cited by
Cited by
Year
Two-sided fairness for repeated matchings in two-sided markets: A case study of a ride-hailing platform
T Sühr, AJ Biega, M Zehlike, KP Gummadi, A Chakraborty
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
1102019
Does fair ranking improve minority outcomes? understanding the interplay of human and algorithmic biases in online hiring
T Sühr, S Hilgard, H Lakkaraju
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 989-999, 2021
262021
Fair Top-k Ranking with multiple protected groups
M Zehlike, T Sühr, R Baeza-Yates, F Bonchi, C Castillo, S Hajian
Information Processing & Management 59 (1), 102707, 2022
242022
Fairsearch: A tool for fairness in ranked search results
M Zehlike, T Sühr, C Castillo, I Kitanovski
Companion proceedings of the web conference 2020, 172-175, 2020
202020
The Platform Governance Archive (PGA)
C Katzenbach, JC Magalhães, A Kopps, T Sühr, L Wunderlich
DOI 10, 17605, 2021
32021
Does fair ranking improve minority outcomes? Understanding the interplay of human and algorithmic biases in online hiring. Association for Computing Machinery, New York
T Sühr, S Hilgard, H Lakkaraju
22021
A note on the significance adjustment for FA* IR with two protected groups
M Zehlike, T Sühr, C Castillo
arXiv preprint arXiv:2012.12795, 2020
22020
Image-Text Rematching for News Items using Optimized Embeddings and CNNs in MediaEval NewsImages 2021
T Sühr, A Madhavanr, NJ Avanaki, R Berk, A Lommatzsch
2021
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