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User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided Markets

4 October 2020

Papers citing "User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided Markets"

21 / 21 papers shown

Title
Policy Design for Two-sided Platforms with Participation Dynamics Haruka Kiyohara Fan Yao Sarah Dean 181 2 0 03 Feb 2025
A Framework for Fairness in Two-Sided Marketplaces Kinjal Basu Cyrus DiCiccio Heloise Logan N. Karoui FaML 59 17 0 23 Jun 2020
Controlling Fairness and Bias in Dynamic Learning-to-Rank Marco Morik Ashudeep Singh Jessica Hong Thorsten Joachims 66 212 0 29 May 2020
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms Gourab K. Patro Arpita Biswas Niloy Ganguly Krishna P. Gummadi Abhijnan Chakraborty FaML 78 233 0 25 Feb 2020
Interventions for Ranking in the Presence of Implicit Bias L. E. Celis Anay Mehrotra Nisheeth K. Vishnoi 73 65 0 23 Jan 2020
Pairwise Fairness for Ranking and Regression Harikrishna Narasimhan Andrew Cotter Maya R. Gupta S. Wang 83 115 0 12 Jun 2019
Revenue, Relevance, Arbitrage and More: Joint Optimization Framework for Search Experiences in Two-Sided Marketplaces Andrew Stanton Akhila Ananthram Congzhe Su Liangjie Hong 131 4 0 15 May 2019
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search S. Geyik Stuart Ambler K. Kenthapadi 101 384 0 30 Apr 2019
Fairness in Recommendation Ranking through Pairwise Comparisons Alex Beutel Jilin Chen Tulsee Doshi Hai Qian Li Wei ... Lukasz Heldt Zhe Zhao Lichan Hong Ed H. Chi Cristos Goodrow FaML 114 381 0 02 Mar 2019
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the xAUC Metric Nathan Kallus Angela Zhou 100 76 0 15 Feb 2019
Policy Learning for Fairness in Ranking Ashudeep Singh Thorsten Joachims OffRL 90 219 0 11 Feb 2019
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 258 773 0 13 Dec 2018
Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems Bashir Rastegarpanah Krishna P. Gummadi M. Crovella 75 119 0 02 Dec 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 230 1,105 0 06 Mar 2018
Beyond Parity: Fairness Objectives for Collaborative Filtering Sirui Yao Bert Huang FaML 45 367 0 24 May 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 302 2,131 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 236 4,341 0 07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 122 1,783 0 19 Sep 2016
Unbiased Learning-to-Rank with Biased Feedback Thorsten Joachims Adith Swaminathan Tobias Schnabel CML 95 541 0 16 Aug 2016
Counterfactual Reasoning and Learning Systems Léon Bottou J. Peters J. Q. Candela Denis Xavier Charles D. M. Chickering Elon Portugaly Dipankar Ray Patrice Y. Simard Edward Snelson CML OffRL 402 787 0 11 Sep 2012
Determinantal point processes for machine learning Alex Kulesza B. Taskar 272 1,140 0 25 Jul 2012