Meike Zehlike

According to our database, Meike Zehlike authored at least 18 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Meike Zehlike, Ke Yang, Julia Stoyanovich

ACM Comput. Surv., 2023

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

Meike Zehlike, Ke Yang, Julia Stoyanovich

ACM Comput. Surv., 2023

Tutorials at The Web Conference 2023.

Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

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

Julia Stoyanovich, Meike Zehlike, Ke Yang

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Body Measurement Prediction Fairness.

Alex Loosley, Amrollah Seifoddini, Alessandro Canopoli, Meike Zehlike

Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

2022

Fairness in Rankings.

Meike Zehlike

Ausgezeichnete Informatikdissertationen, 2022

Fairness in Rankings.

Meike Zehlike

PhD thesis, 2022

Fair Top-<i>k</i> Ranking with multiple protected groups.

Meike Zehlike, Tom Sühr, Ricardo Baeza-Yates, Francesco Bonchi, Carlos Castillo, Sara Hajian

Inf. Process. Manag., 2022

Beyond Incompatibility: Trade-offs between Mutually Exclusive Fairness Criteria in Machine Learning and Law.

Meike Zehlike, Alex Loosley, Håkan Jonsson, Emil Wiedemann, Philipp Hacker

CoRR, 2022

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

Gourab K. Patro, Lorenzo Porcaro, Laura Mitchell, Qiuyue Zhang, Meike Zehlike, Nikhil Garg

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Fairness in Ranking: A Survey.

Meike Zehlike, Ke Yang, Julia Stoyanovich

CoRR, 2021

2020

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

Meike Zehlike, Philipp Hacker, Emil Wiedemann

Data Min. Knowl. Discov., 2020

A Note on the Significance Adjustment for FA*IR with Two Protected Groups.

Meike Zehlike, Tom Sühr, Carlos Castillo

CoRR, 2020

Towards a Flexible Framework for Algorithmic Fairness.

Philipp Hacker, Emil Wiedemann, Meike Zehlike

CoRR, 2020

FairSearch: A Tool For Fairness in Ranked Search Results.

Meike Zehlike, Tom Sühr, Carlos Castillo, Ivan Kitanovski

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

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

Meike Zehlike, Carlos Castillo

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019

Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of a Ride-Hailing Platform.

Tom Sühr, Asia J. Biega, Meike Zehlike, Krishna P. Gummadi, Abhijnan Chakraborty

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2017

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

Meike Zehlike, Francesco Bonchi, Carlos Castillo, Sara Hajian, Mohamed Megahed, Ricardo Baeza-Yates

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017