Fairness-aware recommendation with meta learning

Abstract Fairness has become a critical value online, and the latest studies consider it in many problems. In recommender systems, fairness is important since the visibility of items is controlled by systems. Previous fairness-aware recommender systems assume that sufficient relationship data betwee...

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Bibliographic Details
Published in:Scientific Reports
Main Authors: Hyeji Oh, Chulyun Kim
Format: Article
Language:English
Published: Nature Portfolio 2024-05-01
Subjects:
Recommender systems
Fairness
Cold-start recommendation
Meta-learning
Deep learning
Artificial intelligence
Online Access:https://doi.org/10.1038/s41598-024-60808-x

Internet

https://doi.org/10.1038/s41598-024-60808-x

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