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

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

25 February 2020
Gourab K. Patro
Arpita Biswas
Niloy Ganguly
Krishna P. Gummadi
Abhijnan Chakraborty
    FaML
ArXivPDFHTML

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

29 / 29 papers shown
Title
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
Yashar Deldjoo
Tommaso Di Noia
94
21
0
24 Feb 2025
A Survey of Model Architectures in Information Retrieval
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
73
2
0
21 Feb 2025
Uncertain Multi-Objective Recommendation via Orthogonal Meta-Learning Enhanced Bayesian Optimization
Uncertain Multi-Objective Recommendation via Orthogonal Meta-Learning Enhanced Bayesian Optimization
Hongxu Wang
Zhu Sun
Yingpeng Du
Lu Zhang
Tiantian He
Yew-Soon Ong
61
0
0
18 Feb 2025
Social Choice for Heterogeneous Fairness in Recommendation
Social Choice for Heterogeneous Fairness in Recommendation
Amanda A. Aird
Elena Stefancova
Cassidy All
A. Voida
Martin Homola
Nicholas Mattei
Robin Burke
FaML
58
0
0
06 Oct 2024
Automating Food Drop: The Power of Two Choices for Dynamic and Fair Food
  Allocation
Automating Food Drop: The Power of Two Choices for Dynamic and Fair Food Allocation
Marios Mertzanidis
Alexandros Psomas
Paritosh Verma
21
2
0
10 Jun 2024
Unveiling Bias in Fairness Evaluations of Large Language Models: A
  Critical Literature Review of Music and Movie Recommendation Systems
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
32
7
0
08 Jan 2024
When Collaborative Filtering is not Collaborative: Unfairness of PCA for
  Recommendations
When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations
David Liu
Jackie Baek
Tina Eliassi-Rad
29
0
0
15 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
29
11
0
05 Sep 2023
Fairness Through Domain Awareness: Mitigating Popularity Bias For Music
  Discovery
Fairness Through Domain Awareness: Mitigating Popularity Bias For Music Discovery
Rebecca Salganik
Fernando Diaz
G. Farnadi
26
4
0
28 Aug 2023
BHEISR: Nudging from Bias to Balance -- Promoting Belief Harmony by
  Eliminating Ideological Segregation in Knowledge-based Recommendations
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
24
0
0
06 Jul 2023
Managing multi-facet bias in collaborative filtering recommender systems
Managing multi-facet bias in collaborative filtering recommender systems
Samira Vaez Barenji
Saeed Farzi
FaML
19
0
0
21 Feb 2023
Recommender Systems: A Primer
Recommender Systems: A Primer
P. Castells
Dietmar Jannach
OffRL
32
5
0
06 Feb 2023
FairRoad: Achieving Fairness for Recommender Systems with Optimized
  Antidote Data
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data
Minghong Fang
Jia-Wei Liu
Michinari Momma
Yi Sun
30
4
0
13 Dec 2022
Fairly Allocating Utility in Constrained Multiwinner Elections
Fairly Allocating Utility in Constrained Multiwinner Elections
Kunal Relia
20
0
0
23 Nov 2022
Diversely Regularized Matrix Factorization for Accurate and Aggregately
  Diversified Recommendation
Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation
Jongjin Kim
Hyunsik Jeon
Jaeri Lee
U. Kang
19
10
0
19 Oct 2022
Fair Ranking as Fair Division: Impact-Based Individual Fairness in
  Ranking
Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking
Yuta Saito
Thorsten Joachims
13
24
0
15 Jun 2022
Fairness in Graph Mining: A Survey
Fairness in Graph Mining: A Survey
Yushun Dong
Jing Ma
Song Wang
Chen Chen
Jundong Li
FaML
34
113
0
21 Apr 2022
CPFair: Personalized Consumer and Producer Fairness Re-ranking for
  Recommender Systems
CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems
Mohammadmehdi Naghiaei
Hossein A. Rahmani
Yashar Deldjoo
FaML
42
93
0
17 Apr 2022
Optimizing generalized Gini indices for fairness in rankings
Optimizing generalized Gini indices for fairness in rankings
Virginie Do
Nicolas Usunier
15
29
0
02 Apr 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
9
8
0
08 Feb 2022
Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and
  Individual
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
24
17
0
16 Jan 2022
Revisiting Popularity and Demographic Biases in Recommender Evaluation
  and Effectiveness
Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness
Nicola Neophytou
Bhaskar Mitra
Catherine Stinson
CML
15
25
0
15 Oct 2021
Two-Sided Matching Meets Fair Division
Two-Sided Matching Meets Fair Division
Rupert Freeman
Evi Micha
Nisarg Shah
FedML
29
26
0
15 Jul 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
13
44
0
07 Jul 2021
Personalized Counterfactual Fairness in Recommendation
Personalized Counterfactual Fairness in Recommendation
Yunqi Li
Hanxiong Chen
Shuyuan Xu
Yingqiang Ge
Yongfeng Zhang
FaML
OffRL
29
142
0
20 May 2021
Bandit based centralized matching in two-sided markets for peer to peer
  lending
Bandit based centralized matching in two-sided markets for peer to peer lending
Soumajyoti Sarkar
11
0
0
06 May 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
84
0
19 Apr 2021
Random Walks with Erasure: Diversifying Personalized Recommendations on
  Social and Information Networks
Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks
B. Paudel
Abraham Bernstein
MLAU
19
14
0
18 Feb 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts
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
103
1,383
0
14 Dec 2020
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