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Cited By
A Survey on Fairness-aware Recommender Systems
1 June 2023
Di Jin
Luzhi Wang
He Zhang
Yizhen Zheng
Weiping Ding
Feng Xia
Shirui Pan
FaML
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Papers citing
"A Survey on Fairness-aware Recommender Systems"
22 / 22 papers shown
Title
Towards Responsible AI in Education: Hybrid Recommendation System for K-12 Students Case Study
Nazarii Drushchak
Vladyslava Tyshchenko
Nataliya Polyakovska
70
0
0
27 Feb 2025
Unmasking Gender Bias in Recommendation Systems and Enhancing Category-Aware Fairness
Tahsin Alamgir Kheya
Mohamed Reda Bouadjenek
Sunil Aryal
45
0
0
25 Feb 2025
Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation
Siqing Zhang
Yuchen Ding
Wei Tang
Wei Sun
Yong Liao
P. Zhou
87
0
0
29 Nov 2024
A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research
Falguni Roy
Xiaofeng Ding
K. -K. R. Choo
Pan Zhou
FaML
33
0
0
19 Sep 2024
Intersectional Unfairness Discovery
Gezheng Xu
Qi Chen
Charles Ling
Boyu Wang
Changjian Shui
49
2
0
31 May 2024
Ethical Framework for Responsible Foundational Models in Medical Imaging
Abhijit Das
Debesh Jha
Jasmer Sanjotra
Onkar Susladkar
Suramyaa Sarkar
A. Rauniyar
Nikhil Tomar
Vanshali Sharma
Ulas Bagci
MedIm
85
0
0
14 Apr 2024
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning
Man Wu
Xin-Yang Zheng
Qin Zhang
Xiao Shen
Xiong Luo
Xingquan Zhu
Shirui Pan
OOD
82
10
0
26 Feb 2024
GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks
Bang Wu
He Zhang
Xiangwen Yang
Shuo Wang
Minhui Xue
Shirui Pan
Lizhen Qu
66
6
0
13 Dec 2023
A Survey on Fairness in Large Language Models
Yingji Li
Mengnan Du
Rui Song
Xin Wang
Ying Wang
ALM
59
62
0
20 Aug 2023
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks
He Zhang
Lizhen Qu
Shirui Pan
63
11
0
30 Jan 2023
Closing the Gender Wage Gap: Adversarial Fairness in Job Recommendation
Clara Rus
Jeffrey Luppes
Harrie Oosterhuis
Gido Schoenmacker
FaML
59
12
0
20 Sep 2022
Intelligent Request Strategy Design in Recommender System
Xufeng Qian
Yue Xu
Fuyu Lv
Shengyu Zhang
Ziwen Jiang
Qingwen Liu
Xiaoyi Zeng
Tat-Seng Chua
Fei Wu
39
16
0
23 Jun 2022
Cali3F: Calibrated Fast Fair Federated Recommendation System
Zhitao Zhu
Shijing Si
Jianzong Wang
Jing Xiao
FedML
81
14
0
26 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Lizhen Qu
Shirui Pan
Hanghang Tong
Jian Pei
47
104
0
16 May 2022
Utility-Based Context-Aware Multi-Agent Recommendation System for Energy Efficiency in Residential Buildings
Valentyna Riabchuk
Leon Hagel
Felix Germaine
Alona Zharova
31
9
0
05 May 2022
The Unfairness of Popularity Bias in Book Recommendation
Mohammadmehdi Naghiaei
Hossein A. Rahmani
M. Dehghan
FaML
84
27
0
27 Feb 2022
Considering user dynamic preferences for mitigating negative effects of long tail in recommender systems
Reza Shafiloo
M. Kaedi
Ali Pourmiri
30
4
0
04 Dec 2021
Trustworthy AI: A Computational Perspective
Haochen Liu
Yiqi Wang
Wenqi Fan
Xiaorui Liu
Yaxin Li
Shaili Jain
Yunhao Liu
Anil K. Jain
Jiliang Tang
FaML
108
198
0
12 Jul 2021
Fast Multi-Step Critiquing for VAE-based Recommender Systems
Diego Antognini
Boi Faltings
LRM
70
16
0
03 May 2021
User-oriented Fairness in Recommendation
Yunqi Li
H. Chen
Zuohui Fu
Yingqiang Ge
Yongfeng Zhang
FaML
106
232
0
21 Apr 2021
Advances and Challenges in Conversational Recommender Systems: A Survey
Chongming Gao
Wenqiang Lei
Xiangnan He
Maarten de Rijke
Tat-Seng Chua
147
276
0
23 Jan 2021
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
390
4,271
0
23 Aug 2019
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