Beyond Offline A/B Testing: Context-Aware Agent Simulation for Recommender System Evaluation 事件

Beyond Offline A/B Testing: Context-Aware Agent Simulation for Recommender System Evaluation arXiv:2604.09549v2 Announce Type: replace-cross Abstract: Recommender systems are central to online services, enabling users to navigate through massive amounts of content across various domains. However, their evaluation remains challenging due to the disconnect between offline metrics and online performance. The emergence of Large Language Model-powered agents offers a promising solution, yet existing