ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1809.09030
  4. Cited By
A Fairness-aware Hybrid Recommender System

A Fairness-aware Hybrid Recommender System

13 September 2018
G. Farnadi
Pigi Kouki
Spencer K. Thompson
S. Srinivasan
Lise Getoor
    FaML
ArXiv (abs)PDFHTML

Papers citing "A Fairness-aware Hybrid Recommender System"

25 / 25 papers shown
Title
Unmasking Gender Bias in Recommendation Systems and Enhancing Category-Aware Fairness
Unmasking Gender Bias in Recommendation Systems and Enhancing Category-Aware FairnessThe Web Conference (WWW), 2025
Tahsin Alamgir Kheya
Mohamed Reda Bouadjenek
Sunil Aryal
195
5
0
25 Feb 2025
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender SystemACM Transactions on Intelligent Systems and Technology (ACM TIST), 2024
Yashar Deldjoo
Tommaso Di Noia
369
37
0
24 Feb 2025
Efficient and Responsible Adaptation of Large Language Models for Robust
  Top-k Recommendations
Efficient and Responsible Adaptation of Large Language Models for Robust Top-k Recommendations
Kirandeep Kaur
Chirag Shah
205
4
0
01 May 2024
Graph Fairness Learning under Distribution Shifts
Graph Fairness Learning under Distribution Shifts
Yibo Li
Xiao Wang
Yujie Xing
Shaohua Fan
Ruijia Wang
Yaoqi Liu
Chuan Shi
OOD
194
14
0
30 Jan 2024
Understanding Biases in ChatGPT-based Recommender Systems: Provider
  Fairness, Temporal Stability, and Recency
Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recency
Yashar Deldjoo
LRMVLM
382
64
0
19 Jan 2024
Seller-side Outcome Fairness in Online Marketplaces
Seller-side Outcome Fairness in Online Marketplaces
Zikun Ye
Reza Yousefi Maragheh
Lalitesh Morishetti
Shanu Vashishtha
Jason H. D. Cho
Gabriele Tolomei
Sushant Kumar
Kannan Achan
FaML
128
1
0
06 Dec 2023
Providing Previously Unseen Users Fair Recommendations Using Variational
  Autoencoders
Providing Previously Unseen Users Fair Recommendations Using Variational AutoencodersACM Conference on Recommender Systems (RecSys), 2023
Bjørnar Vassøy
H. Langseth
B. Kille
FaML
90
4
0
29 Aug 2023
Consumer-side Fairness in Recommender Systems: A Systematic Survey of
  Methods and Evaluation
Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and EvaluationArtificial Intelligence Review (AIR), 2023
Bjørnar Vassøy
H. Langseth
FaML
135
8
0
16 May 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
72
0
0
21 Feb 2023
Matrix Estimation for Individual Fairness
Matrix Estimation for Individual FairnessInternational Conference on Machine Learning (ICML), 2023
Cindy Y. Zhang
Sarah H. Cen
Devavrat Shah
FaML
352
4
0
04 Feb 2023
A Comprehensive Survey on Trustworthy Recommender Systems
A Comprehensive Survey on Trustworthy Recommender Systems
Wenqi Fan
Xiangyu Zhao
Xiao Chen
Jingran Su
Jingtong Gao
...
Qidong Liu
Yiqi Wang
Hanfeng Xu
Lei Chen
Qing Li
FaML
220
59
0
21 Sep 2022
Fairness in Recommendation: Foundations, Methods and Applications
Fairness in Recommendation: Foundations, Methods and ApplicationsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Yunqi Li
H. Chen
Shuyuan Xu
Yingqiang Ge
Juntao Tan
Shuchang Liu
Zelong Li
FaMLOffRL
396
77
0
26 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
OffRLFaML
299
132
0
23 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 EmbeddingsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Cheng-Te Li
Cheng-Mao Hsu
Yang Zhang
FaML
189
42
0
30 Apr 2022
Fairness in Graph Mining: A Survey
Fairness in Graph Mining: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Yushun Dong
Jing Ma
Song Wang
Chen Chen
Jundong Li
FaML
320
149
0
21 Apr 2022
FaiREO: User Group Fairness for Equality of Opportunity in Course
  Recommendation
FaiREO: User Group Fairness for Equality of Opportunity in Course Recommendation
Agoritsa Polyzou
Maria Kalantzi
George Karypis
FaML
77
5
0
13 Sep 2021
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
EDITS: Modeling and Mitigating Data Bias for Graph Neural NetworksThe Web Conference (WWW), 2021
Yushun Dong
Ninghao Liu
B. Jalaeian
Jundong Li
262
158
0
11 Aug 2021
What is fair? Exploring the artists' perspective on the fairness of
  music streaming platforms
What is fair? Exploring the artists' perspective on the fairness of music streaming platformsIFIP TC13 International Conference on Human-Computer Interaction (INTERACT), 2021
Andrés Ferraro
Xavier Serra
Christine Bauer
142
44
0
04 Jun 2021
Fairness Through Regularization for Learning to Rank
Fairness Through Regularization for Learning to Rank
Nikola Konstantinov
Christoph H. Lampert
FaML
166
13
0
11 Feb 2021
Towards Fair Personalization by Avoiding Feedback Loops
Towards Fair Personalization by Avoiding Feedback Loops
Gökhan Çapan
Özge Bozal
Ilker Gündogdu
A. Cemgil
133
2
0
20 Dec 2020
HyperFair: A Soft Approach to Integrating Fairness Criteria
HyperFair: A Soft Approach to Integrating Fairness Criteria
Charles Dickens
Rishika Singh
Lise Getoor
116
4
0
05 Sep 2020
Fairness-Aware Explainable Recommendation over Knowledge Graphs
Fairness-Aware Explainable Recommendation over Knowledge GraphsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020
Zuohui Fu
Yikun Xian
Ruoyuan Gao
Jieyu Zhao
Qiaoying Huang
...
Shuyuan Xu
Shijie Geng
C. Shah
Zelong Li
Gerard de Melo
FaML
263
227
0
03 Jun 2020
Deep Learning on Knowledge Graph for Recommender System: A Survey
Deep Learning on Knowledge Graph for Recommender System: A Survey
Y. Gao
Yifan Li
Yu Lin
Hang Gao
Latifur Khan
148
55
0
25 Mar 2020
Learning Fairness-aware Relational Structures
Learning Fairness-aware Relational StructuresEuropean Conference on Artificial Intelligence (ECAI), 2020
Yue Zhang
Arti Ramesh
FaML
85
10
0
21 Feb 2020
Beyond Personalization: Research Directions in Multistakeholder
  Recommendation
Beyond Personalization: Research Directions in Multistakeholder Recommendation
Himan Abdollahpouri
G. Adomavicius
Robin Burke
Ido Guy
Dietmar Jannach
Toshihiro Kamishima
Jan Krasnodebski
L. Pizzato
160
42
0
01 May 2019
1