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cs.IR2026
ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation
Xiangming Li, Hua Chu, Jiaming Liang +2
Distilling accurate user preferences from noisy implicit feedback remains a fundamental bottleneck in recommendation systems, highlighting the need for recommendation denoising. Ho…
cs.IR2025
Diffusion-driven SpatioTemporal Graph KANsformer for Medical Examination Recommendation
Jianan Li, Yangtao Zhou, Zhifu Zhao +5
Recommendation systems in AI-based medical diagnostics and treatment constitute a critical component of AI in healthcare. Although some studies have explored this area and made not…