Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems

Data bias, e.g., popularity impairs the dynamics of two-sided markets within recommender systems. This overshadows the less visible but potentially intriguing long-tail items that could capture user interest. Despite the abundance of research surrounding this issue, it still poses challenges and rem...

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Veröffentlicht in:	arXiv.org 2024-06
Hauptverfasser:	Zhichen Xiang, Zhao, Hongke, Zhao, Chuang, He, Ming, Fan, Jianping
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Information Retrieval Computer Science - Learning Content creation Exposure Optimization Ranking Recommender systems
Online-Zugang:	Volltext
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