Dual constraints and adversarial learning for fair recommenders

Author:

Liu HaifengORCID,Zhao Nan,Zhang Xiaokun,Lin HongfeiORCID,Yang LiangORCID,Xu Bo,Lin Yuan,Fan WenqiORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference40 articles.

1. A deeper graph neural network for recommender systems;Yin;Knowl.-Based Syst.,2019

2. Improving social recommendations with item relationships;Liu,2020

3. WE-Rec: A fairness-aware reciprocal recommendation based on Walrasian equilibrium;Xia;Knowl.-Based Syst.,2019

4. Algorithmic bias? An empirical study of apparent gender-based discrimination in the display of STEM career ads;Lambrecht;Manag. Sci.,2019

5. Fairness-aware ranking in search & recommendation systems with application to linkedin talent search;Geyik,2019

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1. Fairness-Aware Graph Neural Networks: A Survey;ACM Transactions on Knowledge Discovery from Data;2024-04-12

2. A Two-Stage Calibration Approach for Mitigating Bias and Fairness in Recommender Systems;Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing;2024-04-08

3. Consumer-side fairness in recommender systems: a systematic survey of methods and evaluation;Artificial Intelligence Review;2024-03-29

4. Enhancing user and item representation with collaborative signals for KG-based recommendation;Neural Computing and Applications;2024-02-21

5. FairGap: Fairness-aware Recommendation via Generating Counterfactual Graph;ACM Transactions on Information Systems;2023-12-22

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