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

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

30 April 2019
S. Geyik
Stuart Ambler
K. Kenthapadi
ArXivPDFHTML

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

50 / 54 papers shown
Title
Contextual Online Uncertainty-Aware Preference Learning for Human Feedback
Contextual Online Uncertainty-Aware Preference Learning for Human Feedback
Nan Lu
Ethan X. Fang
Junwei Lu
293
0
0
27 Apr 2025
A Tutorial On Intersectionality in Fair Rankings
Chiara Criscuolo
Davide Martinenghi
Giuseppe Piccirillo
FaML
85
0
0
07 Feb 2025
Natural Language Processing for Human Resources: A Survey
Natural Language Processing for Human Resources: A Survey
Naoki Otani
Nikita Bhutani
Estevam R. Hruschka
VLM
48
0
0
21 Oct 2024
A Catalog of Fairness-Aware Practices in Machine Learning Engineering
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
46
3
0
29 Aug 2024
FairJob: A Real-World Dataset for Fairness in Online Systems
FairJob: A Real-World Dataset for Fairness in Online Systems
Mariia Vladimirova
Federico Pavone
Eustache Diemert
57
1
0
03 Jul 2024
Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis
Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis
Dacao Zhang
Kun Zhang
Le Wu
Mi Tian
Richang Hong
Ming Wang
48
5
0
05 Jun 2024
Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals
Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals
Phillip Howard
Kathleen C. Fraser
Anahita Bhiwandiwalla
S. Kiritchenko
71
9
0
30 May 2024
Leave No Patient Behind: Enhancing Medication Recommendation for Rare
  Disease Patients
Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients
Zihao Zhao
Yi Jing
Fuli Feng
Jiancan Wu
Chongming Gao
Xiangnan He
31
9
0
26 Mar 2024
Invisible Relevance Bias: Text-Image Retrieval Models Prefer
  AI-Generated Images
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
40
8
0
23 Nov 2023
Improving Diversity of Demographic Representation in Large Language
  Models via Collective-Critiques and Self-Voting
Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting
Preethi Lahoti
Nicholas Blumm
Xiao Ma
Raghavendra Kotikalapudi
Sahitya Potluri
...
Hansa Srinivasan
Ben Packer
Ahmad Beirami
Alex Beutel
Jilin Chen
57
29
0
25 Oct 2023
Towards Individual and Multistakeholder Fairness in Tourism Recommender
  Systems
Towards Individual and Multistakeholder Fairness in Tourism Recommender Systems
Ashmi Banerjee
Paromita Banik
Wolfgang Wörndl
41
12
0
05 Sep 2023
VisoGender: A dataset for benchmarking gender bias in image-text pronoun
  resolution
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
47
41
0
21 Jun 2023
Matched Pair Calibration for Ranking Fairness
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
34
1
0
06 Jun 2023
The Role of Relevance in Fair Ranking
The Role of Relevance in Fair Ranking
Aparna Balagopalan
Abigail Z. Jacobs
Asia J. Biega
47
8
0
09 May 2023
Debiasing Vision-Language Models via Biased Prompts
Debiasing Vision-Language Models via Biased Prompts
Ching-Yao Chuang
Varun Jampani
Yuanzhen Li
Antonio Torralba
Stefanie Jegelka
VLM
40
98
0
31 Jan 2023
Biases in Scholarly Recommender Systems: Impact, Prevalence, and
  Mitigation
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation
Michael Färber
Melissa Coutinho
Shuzhou Yuan
39
7
0
18 Jan 2023
Detection of Groups with Biased Representation in Ranking
Detection of Groups with Biased Representation in Ranking
Jinyang Li
Y. Moskovitch
H. V. Jagadish
29
8
0
30 Dec 2022
Fair Ranking with Noisy Protected Attributes
Fair Ranking with Noisy Protected Attributes
Anay Mehrotra
Nisheeth K. Vishnoi
38
16
0
30 Nov 2022
FairCLIP: Social Bias Elimination based on Attribute Prototype Learning
  and Representation Neutralization
FairCLIP: Social Bias Elimination based on Attribute Prototype Learning and Representation Neutralization
Junyan Wang
Yi Zhang
Jitao Sang
FaML
VLM
56
23
0
26 Oct 2022
Simpson's Paradox in Recommender Fairness: Reconciling differences
  between per-user and aggregated evaluations
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
40
5
0
14 Oct 2022
Algorithmic Fairness in Business Analytics: Directions for Research and
  Practice
Algorithmic Fairness in Business Analytics: Directions for Research and Practice
Maria De-Arteaga
Stefan Feuerriegel
M. Saar-Tsechansky
FaML
33
42
0
22 Jul 2022
MANI-Rank: Multiple Attribute and Intersectional Group Fairness for
  Consensus Ranking
MANI-Rank: Multiple Attribute and Intersectional Group Fairness for Consensus Ranking
Kathleen Cachel
Elke A. Rundensteiner
Lane Harrison
FaML
26
11
0
20 Jul 2022
FairFuse: Interactive Visual Support for Fair Consensus Ranking
FairFuse: Interactive Visual Support for Fair Consensus Ranking
Hilson Shrestha
Kathleen Cachel
Mallak Alkhathlan
Elke A. Rundensteiner
Lane Harrison
31
2
0
15 Jul 2022
Characteristics of Harmful Text: Towards Rigorous Benchmarking of
  Language Models
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
45
49
0
16 Jun 2022
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems
Lequn Wang
Thorsten Joachims
32
22
0
30 May 2022
Fairness in Recommender Systems: Research Landscape and Future
  Directions
Fairness in Recommender Systems: Research Landscape and Future Directions
Yashar Deldjoo
Dietmar Jannach
Alejandro Bellogín
Alessandro Difonzo
Dario Zanzonelli
OffRL
FaML
94
83
0
23 May 2022
De-biasing "bias" measurement
De-biasing "bias" measurement
K. Lum
Yunfeng Zhang
Amanda Bower
26
27
0
11 May 2022
Subverting Fair Image Search with Generative Adversarial Perturbations
Subverting Fair Image Search with Generative Adversarial Perturbations
A. Ghosh
Matthew Jagielski
Chris L. Wilson
30
7
0
05 May 2022
FairSR: Fairness-aware Sequential Recommendation through Multi-Task
  Learning with Preference Graph Embeddings
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings
Cheng-Te Li
Cheng-Mao Hsu
Yang Zhang
FaML
38
36
0
30 Apr 2022
Probabilistic Permutation Graph Search: Black-Box Optimization for
  Fairness in Ranking
Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking
Ali Vardasbi
F. Sarvi
Maarten de Rijke
40
10
0
28 Apr 2022
Sampling Ex-Post Group-Fair Rankings
Sampling Ex-Post Group-Fair Rankings
Sruthi Gorantla
Amit Deshpande
Anand Louis
FedML
43
1
0
02 Mar 2022
Alexa, in you, I trust! Fairness and Interpretability Issues in
  E-commerce Search through Smart Speakers
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
28
10
0
08 Feb 2022
Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility
  Amortizations in Repeated Rankings
Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings
Till Kletti
J. Renders
Patrick Loiseau
44
17
0
07 Feb 2022
Measuring and Reducing Model Update Regression in Structured Prediction
  for NLP
Measuring and Reducing Model Update Regression in Structured Prediction for NLP
Deng Cai
Elman Mansimov
Yi-An Lai
Yixuan Su
Lei Shu
Yi Zhang
KELM
83
9
0
07 Feb 2022
Measuring Disparate Outcomes of Content Recommendation Algorithms with
  Distributional Inequality Metrics
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
32
17
0
03 Feb 2022
Exposing Query Identification for Search Transparency
Exposing Query Identification for Search Transparency
Ruohan Li
Jianxiang Li
Bhaskar Mitra
Fernando Diaz
Asia J. Biega
40
8
0
14 Oct 2021
Amazon SageMaker Clarify: Machine Learning Bias Detection and
  Explainability in the Cloud
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
39
42
0
07 Sep 2021
A Graph-based Approach for Mitigating Multi-sided Exposure Bias in
  Recommender Systems
A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems
M. Mansoury
Himan Abdollahpouri
Mykola Pechenizkiy
B. Mobasher
Robin Burke
FaML
15
44
0
07 Jul 2021
FairCanary: Rapid Continuous Explainable Fairness
FairCanary: Rapid Continuous Explainable Fairness
Avijit Ghosh
Aalok Shanbhag
Christo Wilson
25
20
0
13 Jun 2021
Societal Biases in Retrieved Contents: Measurement Framework and
  Adversarial Mitigation for BERT Rankers
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers
Navid Rekabsaz
Simone Kopeinik
Markus Schedl
24
60
0
28 Apr 2021
TFROM: A Two-sided Fairness-Aware Recommendation Model for Both
  Customers and Providers
TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers
Yao Wu
Jian Cao
Guandong Xu
Yudong Tan
FaML
27
85
0
19 Apr 2021
Fairness On The Ground: Applying Algorithmic Fairness Approaches to
  Production Systems
Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems
Chloé Bakalar
Renata Barreto
Stevie Bergman
Miranda Bogen
Bobbie Chern
...
J. Simons
Jonathan Tannen
Edmund Tong
Kate Vredenburgh
Jiejing Zhao
FaML
24
27
0
10 Mar 2021
Fairness of Exposure in Stochastic Bandits
Fairness of Exposure in Stochastic Bandits
Lequn Wang
Yiwei Bai
Wen Sun
Thorsten Joachims
FaML
29
49
0
03 Mar 2021
Problematic Machine Behavior: A Systematic Literature Review of
  Algorithm Audits
Problematic Machine Behavior: A Systematic Literature Review of Algorithm Audits
Jack Bandy
MLAU
26
112
0
03 Feb 2021
Characterizing Intersectional Group Fairness with Worst-Case Comparisons
Characterizing Intersectional Group Fairness with Worst-Case Comparisons
A. Ghosh
Lea Genuit
Mary Reagan
FaML
96
52
0
05 Jan 2021
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges
Lu Cheng
Kush R. Varshney
Huan Liu
FaML
38
145
0
01 Jan 2021
On the Problem of Underranking in Group-Fair Ranking
On the Problem of Underranking in Group-Fair Ranking
Sruthi Gorantla
Amit Deshpande
Anand Louis
FaML
32
3
0
24 Sep 2020
Fairness-Aware Online Personalization
Fairness-Aware Online Personalization
G. R. Lal
S. Geyik
K. Kenthapadi
FaML
16
3
0
30 Jul 2020
Achieving Fairness via Post-Processing in Web-Scale Recommender Systems
Achieving Fairness via Post-Processing in Web-Scale Recommender Systems
Preetam Nandy
Cyrus DiCiccio
Divya Venugopalan
Heloise Logan
Kinjal Basu
N. Karoui
FaML
34
30
0
19 Jun 2020
Fairness-Aware Explainable Recommendation over Knowledge Graphs
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
14
205
0
03 Jun 2020
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