2 papers
cs.IR2026
ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation
Xiangming Li, Hua Chu, Jiaming Liang +3
Distilling accurate user preferences from noisy implicit feedback remains a fundamental bottleneck in recommendation systems, highlighting the need for recommendation denoising. Ho…
cs.IR2026
AgentGR: Semantic-aware Agentic Group Decision-Making Simulator for Group Recommendation
Yangtao Zhou, Wenhao You, Hua Chu +4
Group Recommendation (GR) aims to suggest items to a group of users, which has become a critical component of modern social platforms. Existing GR methods focus on aggregating indi…