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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

ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
30 April 2022
Cheng-Te Li
Cheng-Mao Hsu
Yang Zhang
    FaML
ArXiv (abs)PDFHTMLGithub (4★)

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

9 / 9 papers shown
Fair Augmentation for Graph Collaborative Filtering
Fair Augmentation for Graph Collaborative FilteringACM Conference on Recommender Systems (RecSys), 2024
Ludovico Boratto
Francesco Fabbri
Gianni Fenu
Mirko Marras
Giacomo Medda
324
6
0
22 Aug 2024
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
138
4
0
29 Aug 2023
Fairness-Aware Graph Neural Networks: A Survey
Fairness-Aware Graph Neural Networks: A SurveyACM Transactions on Knowledge Discovery from Data (TKDD), 2023
April Chen
Ryan Rossi
Namyong Park
Puja Trivedi
Yu Wang
Tong Yu
Sungchul Kim
Franck Dernoncourt
Nesreen K. Ahmed
307
38
0
08 Jul 2023
A Survey on Fairness-aware Recommender Systems
A Survey on Fairness-aware Recommender SystemsInformation Fusion (Inf. Fusion), 2023
Di Jin
Luzhi Wang
He Zhang
Yizhen Zheng
Weiping Ding
Feng Xia
Shirui Pan
FaML
349
73
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 EvaluationArtificial Intelligence Review (AIR), 2023
Bjørnar Vassøy
H. Langseth
FaML
208
15
0
16 May 2023
Attention Mixtures for Time-Aware Sequential Recommendation
Attention Mixtures for Time-Aware Sequential RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Viet-Anh Tran
Guillaume Salha-Galvan
Bruno Sguerra
Romain Hennequin
348
42
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
266
17
0
02 Mar 2023
Graph Learning with Localized Neighborhood Fairness
Graph Learning with Localized Neighborhood Fairness
April Chen
Ryan Rossi
Nedim Lipka
Jane Hoffswell
G. Chan
Shunan Guo
Eunyee Koh
Sungchul Kim
Nesreen K. Ahmed
FaML
220
10
0
22 Dec 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and TrendsProceedings of the IEEE (Proc. IEEE), 2022
He Zhang
Bang Wu
Lizhen Qu
Shirui Pan
Hanghang Tong
Jian Pei
441
165
0
16 May 2022
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