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Uncertainty-Calibrated Recommendations for Low-Active Users
针对低活跃用户的推荐不确定性校准方法，有效提升冷启动场景可靠性，已被KDD 2026接收。
arXiv:2605.17788v1 Announce Type: cross Abstract: A fundamental challenge in recommender systems is balancing reliability for Low-Active Users (LAUs) …