Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search

30 April 2019

Papers citing "Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search"

46 / 46 papers shown

Title
Contextual Online Uncertainty-Aware Preference Learning for Human Feedback Nan Lu Ethan X. Fang Junwei Lu 191 0 0 27 Apr 2025
A Tutorial On Intersectionality in Fair Rankings Chiara Criscuolo Davide Martinenghi Giuseppe Piccirillo FaML 72 0 0 07 Feb 2025
Natural Language Processing for Human Resources: A Survey Naoki Otani Nikita Bhutani Estevam R. Hruschka VLM 37 0 0 21 Oct 2024
A Catalog of Fairness-Aware Practices in Machine Learning Engineering Gianmario Voria Giulia Sellitto Carmine Ferrara Francesco Abate A. Lucia F. Ferrucci Gemma Catolino Fabio Palomba FaML 39 3 0 29 Aug 2024
FairJob: A Real-World Dataset for Fairness in Online Systems Mariia Vladimirova Federico Pavone Eustache Diemert 47 1 0 03 Jul 2024
Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis Dacao Zhang Kun Zhang Le Wu Mi Tian Richang Hong Ming Wang 43 5 0 05 Jun 2024
Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals Phillip Howard Kathleen C. Fraser Anahita Bhiwandiwalla S. Kiritchenko 52 9 0 30 May 2024
Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients Zihao Zhao Yi Jing Fuli Feng Jiancan Wu Chongming Gao Xiangnan He 26 9 0 26 Mar 2024
Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images Shicheng Xu Danyang Hou Liang Pang Jingcheng Deng Jun Xu Huawei Shen Xueqi Cheng 26 8 0 23 Nov 2023
Towards Individual and Multistakeholder Fairness in Tourism Recommender Systems Ashmi Banerjee Paromita Banik Wolfgang Wörndl 29 11 0 05 Sep 2023
VisoGender: A dataset for benchmarking gender bias in image-text pronoun resolution S. Hall F. G. Abrantes Hanwen Zhu Grace A. Sodunke Aleksandar Shtedritski Hannah Rose Kirk CoGe 31 39 0 21 Jun 2023
Matched Pair Calibration for Ranking Fairness Hannah Korevaar Christopher McConnell Edmund Tong Erik Brinkman Alana Shine Misam Abbas Blossom Metevier S. Corbett-Davies Khalid El-Arini 24 1 0 06 Jun 2023
The Role of Relevance in Fair Ranking Aparna Balagopalan Abigail Z. Jacobs Asia J. Biega 33 8 0 09 May 2023
Debiasing Vision-Language Models via Biased Prompts Ching-Yao Chuang Varun Jampani Yuanzhen Li Antonio Torralba Stefanie Jegelka VLM 30 97 0 31 Jan 2023
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation Michael Färber Melissa Coutinho Shuzhou Yuan 32 7 0 18 Jan 2023
Detection of Groups with Biased Representation in Ranking Jinyang Li Y. Moskovitch H. V. Jagadish 24 8 0 30 Dec 2022
Fair Ranking with Noisy Protected Attributes Anay Mehrotra Nisheeth K. Vishnoi 23 16 0 30 Nov 2022
FairCLIP: Social Bias Elimination based on Attribute Prototype Learning and Representation Neutralization Junyan Wang Yi Zhang Jitao Sang FaML VLM 34 22 0 26 Oct 2022
Simpson's Paradox in Recommender Fairness: Reconciling differences between per-user and aggregated evaluations Flavien Prost Ben Packer Jilin Chen Li Wei Pierre-Antoine Kremp ... Tulsee Doshi Tonia Osadebe Lukasz Heldt Ed H. Chi Alex Beutel 30 5 0 14 Oct 2022
Algorithmic Fairness in Business Analytics: Directions for Research and Practice Maria De-Arteaga Stefan Feuerriegel M. Saar-Tsechansky FaML 22 42 0 22 Jul 2022
MANI-Rank: Multiple Attribute and Intersectional Group Fairness for Consensus Ranking Kathleen Cachel Elke A. Rundensteiner Lane Harrison FaML 21 11 0 20 Jul 2022
FairFuse: Interactive Visual Support for Fair Consensus Ranking Hilson Shrestha Kathleen Cachel Mallak Alkhathlan Elke A. Rundensteiner Lane Harrison 26 2 0 15 Jul 2022
Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models Maribeth Rauh John F. J. Mellor J. Uesato Po-Sen Huang Johannes Welbl ... Amelia Glaese G. Irving Iason Gabriel William S. Isaac Lisa Anne Hendricks 33 49 0 16 Jun 2022
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems Lequn Wang Thorsten Joachims 25 22 0 30 May 2022
De-biasing "bias" measurement K. Lum Yunfeng Zhang Amanda Bower 21 27 0 11 May 2022
Subverting Fair Image Search with Generative Adversarial Perturbations A. Ghosh Matthew Jagielski Chris L. Wilson 22 7 0 05 May 2022
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings Cheng-Te Li Cheng-Mao Hsu Yang Zhang FaML 27 35 0 30 Apr 2022
Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking Ali Vardasbi F. Sarvi Maarten de Rijke 21 10 0 28 Apr 2022
Sampling Ex-Post Group-Fair Rankings Sruthi Gorantla Amit Deshpande Anand Louis FedML 33 1 0 02 Mar 2022
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers A. Dash Abhijnan Chakraborty Saptarshi Ghosh Animesh Mukherjee Krishna P. Gummadi 9 8 0 08 Feb 2022
Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings Till Kletti J. Renders P. Loiseau 27 17 0 07 Feb 2022
Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics Tomo Lazovich Luca Belli Aaron Gonzales Amanda Bower U. Tantipongpipat K. Lum Ferenc Huszár Rumman Chowdhury 17 17 0 03 Feb 2022
Exposing Query Identification for Search Transparency Ruohan Li Jianxiang Li Bhaskar Mitra Fernando Diaz Asia J. Biega 29 8 0 14 Oct 2021
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud Michaela Hardt Xiaoguang Chen Xiaoyi Cheng Michele Donini J. Gelman ... Muhammad Bilal Zafar Sanjiv Ranjan Das Kevin Haas Tyler Hill K. Kenthapadi ELM FaML 36 42 0 07 Sep 2021
A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems M. Mansoury Himan Abdollahpouri Mykola Pechenizkiy B. Mobasher Robin Burke FaML 13 44 0 07 Jul 2021
FairCanary: Rapid Continuous Explainable Fairness Avijit Ghosh Aalok Shanbhag Christo Wilson 11 20 0 13 Jun 2021
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers Navid Rekabsaz Simone Kopeinik Markus Schedl 24 61 0 28 Apr 2021
TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers Yao Wu Jian Cao Guandong Xu Yudong Tan FaML 27 84 0 19 Apr 2021
Fairness of Exposure in Stochastic Bandits Lequn Wang Yiwei Bai Wen Sun Thorsten Joachims FaML 24 48 0 03 Mar 2021
Problematic Machine Behavior: A Systematic Literature Review of Algorithm Audits Jack Bandy MLAU 21 109 0 03 Feb 2021
Characterizing Intersectional Group Fairness with Worst-Case Comparisons A. Ghosh Lea Genuit Mary Reagan FaML 94 51 0 05 Jan 2021
On the Problem of Underranking in Group-Fair Ranking Sruthi Gorantla Amit Deshpande Anand Louis FaML 24 3 0 24 Sep 2020
Fairness-Aware Explainable Recommendation over Knowledge Graphs Zuohui Fu Yikun Xian Ruoyuan Gao Jieyu Zhao Qiaoying Huang ... Shuyuan Xu Shijie Geng C. Shah Yongfeng Zhang Gerard de Melo FaML 12 204 0 03 Jun 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 13 229 0 25 Feb 2020
Interventions for Ranking in the Presence of Implicit Bias L. E. Celis Anay Mehrotra Nisheeth K. Vishnoi 24 64 0 23 Jan 2020
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices Manish Raghavan Solon Barocas Jon M. Kleinberg K. Levy MLAU FaML 10 504 0 21 Jun 2019