Fair ranking: a critical review, challenges, and future directions-Reference-Cited by-同舟云学术

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

Published:2022-06-20 Issue: Volume: Page:
ISSN:
Container-title:2022 ACM Conference on Fairness, Accountability, and Transparency
language:
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Author:

Patro Gourab K.¹,Porcaro Lorenzo²,Mitchell Laura³,Zhang Qiuyue⁴,Zehlike Meike⁵,Garg Nikhil⁶

Affiliation:

1. Indian Institute of Technology, India and L3S Research Center, Germany

2. Universitat Pompeu Fabra, Spain

3. Competition and Markets Authority, United Kingdom

4. Accenture Plc, United Kingdom

5. Zalando Research, Germany and Max-Planck-Institute for Software Systems, Germany

6. Cornell Tech, USA

Funder

European Research Council

Agencia Estatal de Investigación

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3531146.3533238

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3. Estimating Position Bias without Intrusive Interventions

4. What We Can't Measure, We Can't Understand

5. Guy Aridor , Duarte Goncalves , and Shan Sikdar . 2020. Deconstructing the Filter Bubble: User Decision-Making and Recommender Systems . In RecSys 2020 - 14th ACM Conference on Recommender Systems. 82–91. https://doi.org/10.1145/3383313.3412246 10.1145/3383313.3412246 Guy Aridor, Duarte Goncalves, and Shan Sikdar. 2020. Deconstructing the Filter Bubble: User Decision-Making and Recommender Systems. In RecSys 2020 - 14th ACM Conference on Recommender Systems. 82–91. https://doi.org/10.1145/3383313.3412246

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