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Zehlike, Meike
24  Ergebnisse:
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1

Tutorials at The Web Conference 2023:

, In: Companion Proceedings of the ACM Web Conference 2023,
Fionda, Valeria ; Hartig, Olaf ; Abdolazimi, Reyhaneh... - p. 648-658 , 2023
Link: https://dl.acm.org/doi/1..
 
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2

Fairness in Ranking: From Values to Technical Choices and B..:

, In: Companion of the 2023 International Conference on Management of Data,
Stoyanovich, Julia ; Zehlike, Meike ; Yang, Ke - p. 7-12 , 2023
Link: https://dl.acm.org/doi/1..
 
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3

Fairness in Rankings:

Zehlike, Meike , 2022
Link: https://nbn-resolving.de..
 
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4

Fairness in Ranking, Part II: Learning-to-Rank and Recommen..:

Zehlike, Meike ; Yang, Ke ; Stoyanovich, Julia
ACM Computing Surveys.  55 (2022)  6 - p. 1-41 , 2022
Link: https://doi.org/10.1145/..
 
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5

Fairness in Ranking, Part I: Score-Based Ranking:

Zehlike, Meike ; Yang, Ke ; Stoyanovich, Julia
ACM Computing Surveys.  55 (2022)  6 - p. 1-36 , 2022
Link: https://doi.org/10.1145/..
 
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6

Fair Top-k Ranking with multiple protected groups:

Zehlike, Meike ; Sühr, Tom ; Baeza-Yates, Ricardo...
Information Processing & Management.  59 (2022)  1 - p. 102707 , 2022
Link: https://doi.org/10.1016/..
 
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7

Fair ranking: a critical review, challenges, and future dir..:

, In: 2022 ACM Conference on Fairness, Accountability, and Transparency,
Patro, Gourab K. ; Porcaro, Lorenzo ; Mitchell, Laura... - p. 1929-1942 , 2022
Link: https://dl.acm.org/doi/1..
 
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8

FairSearch: A Tool For Fairness in Ranked Search Results:

, In: Companion Proceedings of the Web Conference 2020,
Zehlike, Meike ; Sühr, Tom ; Castillo, Carlos. - p. 172-175 , 2020
Link: https://dl.acm.org/doi/1..
 
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9

Reducing Disparate Exposure in Ranking: A Learning To Rank ..:

, In: Proceedings of The Web Conference 2020,
Zehlike, Meike ; Castillo, Carlos - p. 2849-2855 , 2020
Link: https://dl.acm.org/doi/1..
 
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10

Two-Sided Fairness for Repeated Matchings in Two-Sided Mark..:

, In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,
Sühr, Tom ; Biega, Asia J. ; Zehlike, Meike.. - p. 3082-3092 , 2019
Link: https://dl.acm.org/doi/1..
 
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11

Matching code and law: achieving algorithmic fairness with ..:

Zehlike, Meike ; Hacker, Philipp ; Wiedemann, Emil
Data Mining and Knowledge Discovery.  34 (2019)  1 - p. 163-200 , 2019
Link: https://doi.org/10.1007/..
 
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12

FA*IR : A Fair Top-k Ranking Algorithm:

, In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management,
Zehlike, Meike ; Bonchi, Francesco ; Castillo, Carlos... - p. 1569-1578 , 2017
Link: https://dl.acm.org/doi/1..
 
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13

Fairness in Rankings:

Zehlike, Meike
10.1145/3132847.3132938.  , 2022
Link: http://edoc.hu-berlin.de..
 
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14

Fair ranking: a critical review, challenges, and future dir..:

Patro, Gourab K ; Porcaro, Lorenzo ; Mitchell, Laura...
http://arxiv.org/abs/2201.12662.  , 2022
Link: http://arxiv.org/abs/220..
 
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15

Beyond Incompatibility: Trade-offs between Mutually Exclusi..:

Zehlike, Meike ; Loosley, Alex ; Jonsson, Håkan..
http://arxiv.org/abs/2212.00469.  , 2022
Link: http://arxiv.org/abs/221..
 
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