FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms

25 February 2020

Papers citing "FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms"

36 / 36 papers shown

Title
When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations David Liu Jackie Baek Tina Eliassi-Rad 34 0 0 30 May 2025
Regret-aware Re-ranking for Guaranteeing Two-sided Fairness and Accuracy in Recommender Systems Xiaopeng Ye Chen Xu Jun Xu Xuyang Xie Gang Wang Zhenhua Dong FaML 67 0 0 20 Apr 2025
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System Yashar Deldjoo Tommaso Di Noia 123 21 0 24 Feb 2025
A Survey of Model Architectures in Information Retrieval Zhichao Xu Fengran Mo Zhiqi Huang Crystina Zhang Puxuan Yu Bei Wang Jimmy J. Lin Vivek Srikumar KELM 3DV 88 2 0 21 Feb 2025
Uncertain Multi-Objective Recommendation via Orthogonal Meta-Learning Enhanced Bayesian Optimization Hongxu Wang Zhu Sun Yingpeng Du Lu Zhang Tiantian He Yew-Soon Ong 75 0 0 18 Feb 2025
Social Choice for Heterogeneous Fairness in Recommendation Amanda A. Aird Elena Stefancova Cassidy All A. Voida Martin Homola Nicholas Mattei Robin Burke FaML 70 0 0 06 Oct 2024
Automating Food Drop: The Power of Two Choices for Dynamic and Fair Food Allocation Marios Mertzanidis Alexandros Psomas Paritosh Verma 26 4 0 10 Jun 2024
Content-Agnostic Moderation for Stance-Neutral Recommendation Nan Li Bo Kang T. D. Bie 11 0 0 29 May 2024
Unveiling Bias in Fairness Evaluations of Large Language Models: A Critical Literature Review of Music and Movie Recommendation Systems Chandan Kumar Sah Xiaoli Lian Muhammad Mirajul Islam 52 8 0 08 Jan 2024
Towards Individual and Multistakeholder Fairness in Tourism Recommender Systems Ashmi Banerjee Paromita Banik Wolfgang Wörndl 41 12 0 05 Sep 2023
Fairness Through Domain Awareness: Mitigating Popularity Bias For Music Discovery Rebecca Salganik Fernando Diaz G. Farnadi 31 4 0 28 Aug 2023
BHEISR: Nudging from Bias to Balance -- Promoting Belief Harmony by Eliminating Ideological Segregation in Knowledge-based Recommendations Mengyan Wang Yuxuan Hu Zihan Yuan Chenting Jiang Weihua Li Shiqing Wu Quan-wei Bai 27 0 0 06 Jul 2023
Managing multi-facet bias in collaborative filtering recommender systems Samira Vaez Barenji Saeed Farzi FaML 27 0 0 21 Feb 2023
Recommender Systems: A Primer P. Castells Dietmar Jannach OffRL 34 5 0 06 Feb 2023
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data Minghong Fang Jia-Wei Liu Michinari Momma Yi Sun 48 4 0 13 Dec 2022
Fairly Allocating Utility in Constrained Multiwinner Elections Kunal Relia 36 0 0 23 Nov 2022
Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation Jongjin Kim Hyunsik Jeon Jaeri Lee U. Kang 32 10 0 19 Oct 2022
Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning Xiaoli Tang Han Yu 55 5 0 21 Sep 2022
Who Pays? Personalization, Bossiness and the Cost of Fairness Paresha Farastu Nicholas Mattei Robin Burke FaML 34 2 0 08 Sep 2022
Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking Yuta Saito Thorsten Joachims 33 24 0 15 Jun 2022
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
Joint Multisided Exposure Fairness for Recommendation Haolun Wu Bhaskar Mitra Chen Ma Fernando Diaz Xue Liu FaML 29 64 0 29 Apr 2022
Fairness in Graph Mining: A Survey Yushun Dong Jing Ma Song Wang Chen Chen Jundong Li FaML 34 114 0 21 Apr 2022
CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems Mohammadmehdi Naghiaei Hossein A. Rahmani Yashar Deldjoo FaML 52 93 0 17 Apr 2022
Optimizing generalized Gini indices for fairness in rankings Virginie Do Nicolas Usunier 25 29 0 02 Apr 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 39 10 0 08 Feb 2022
Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual Seyed-Alireza Esmaeili Sharmila Duppala Davidson Cheng Vedant Nanda A. Srinivasan John P. Dickerson FaML 29 17 0 16 Jan 2022
Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness Nicola Neophytou Bhaskar Mitra Catherine Stinson CML 28 25 0 15 Oct 2021
Two-Sided Matching Meets Fair Division Rupert Freeman Evi Micha Nisarg Shah FedML 34 26 0 15 Jul 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 15 45 0 07 Jul 2021
Personalized Counterfactual Fairness in Recommendation Yunqi Li Hanxiong Chen Shuyuan Xu Yingqiang Ge Yongfeng Zhang FaML OffRL 34 143 0 20 May 2021
Bandit based centralized matching in two-sided markets for peer to peer lending Soumajyoti Sarkar 30 0 0 06 May 2021
User-oriented Fairness in Recommendation Yunqi Li H. Chen Zuohui Fu Yingqiang Ge Yongfeng Zhang FaML 106 232 0 21 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 85 0 19 Apr 2021
Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks B. Paudel Abraham Bernstein MLAU 29 14 0 18 Feb 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 116 1,396 0 14 Dec 2020