Towards efficient pareto-optimal utility-fairness between groups in repeated rankings

In this study, we tackle the problem of computing an expectation of ranking with the guarantee of the Pareto-optimal balance between (1) maximizing the utility of the consumers and (2) minimizing the exposure unfairness between item producers. Such a multi-objective optimization problem is typically...

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Veröffentlicht in:	Machine learning Jg. 114; H. 3; S. 56
Hauptverfasser:	Dinh, Phuong Mai, Le, Duc-Trong, Hoang, Tuan-Anh, Le, Dung Duy
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.03.2025 Springer Nature B.V
Schlagworte:	Artificial Intelligence Asymptotic methods Computer Science Control Linear programming Machine Learning Mechatronics Multiple objective analysis Natural Language Processing (NLP) Pareto optimization Pareto optimum Ranking Robotics Simulation and Modeling
ISSN:	0885-6125, 1573-0565
Online-Zugang:	Volltext
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