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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

30 April 2022
Cheng-Te Li
Cheng-Mao Hsu
Yang Zhang
    FaML
ArXivPDFHTML

Papers citing "FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings"

11 / 11 papers shown
Title
Fair Augmentation for Graph Collaborative Filtering
Fair Augmentation for Graph Collaborative Filtering
Ludovico Boratto
Francesco Fabbri
Gianni Fenu
Mirko Marras
Giacomo Medda
35
1
0
22 Aug 2024
Providing Previously Unseen Users Fair Recommendations Using Variational
  Autoencoders
Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders
Bjørnar Vassøy
H. Langseth
B. Kille
FaML
11
4
0
29 Aug 2023
Fairness-Aware Graph Neural Networks: A Survey
Fairness-Aware Graph Neural Networks: A Survey
April Chen
Ryan A. Rossi
Namyong Park
Puja Trivedi
Yu-Chiang Frank Wang
Tong Yu
Sungchul Kim
Franck Dernoncourt
Nesreen K. Ahmed
22
9
0
08 Jul 2023
A Survey on Fairness-aware Recommender Systems
A Survey on Fairness-aware Recommender Systems
Di Jin
Luzhi Wang
He Zhang
Yizhen Zheng
Weiping Ding
Feng Xia
Shirui Pan
FaML
14
40
0
01 Jun 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 Evaluation
Bjørnar Vassøy
H. Langseth
FaML
29
5
0
16 May 2023
Attention Mixtures for Time-Aware Sequential Recommendation
Attention Mixtures for Time-Aware Sequential Recommendation
Viet-Anh Tran
Guillaume Salha-Galvan
Bruno Sguerra
Romain Hennequin
20
21
0
17 Apr 2023
Dynamic fairness-aware recommendation through multi-agent social choice
Dynamic fairness-aware recommendation through multi-agent social choice
Amanda A. Aird
Paresha Farastu
Joshua Sun
Elena Stefancova
Cassidy All
A. Voida
Nicholas Mattei
Robin Burke
FaML
10
11
0
02 Mar 2023
Graph Learning with Localized Neighborhood Fairness
Graph Learning with Localized Neighborhood Fairness
April Chen
Ryan A. Rossi
Nedim Lipka
Jane Hoffswell
G. Chan
Shunan Guo
E. Koh
Sungchul Kim
Nesreen K. Ahmed
FaML
11
6
0
22 Dec 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
41
104
0
16 May 2022
Learning Intents behind Interactions with Knowledge Graph for
  Recommendation
Learning Intents behind Interactions with Knowledge Graph for Recommendation
Xiang Wang
Tinglin Huang
Dingxian Wang
Yancheng Yuan
Zhenguang Liu
Xiangnan He
Tat-Seng Chua
80
412
0
14 Feb 2021
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,187
0
23 Aug 2019
1