作者位次 #3/4SIGIR 2026Oral· Information Retrieval (Full)
Coupling Global Context with Kinematic Evolution for Sequential Recommendation
Yueting Yang · Yao Li · Rongmei Zhao · Shenggen Ju
摘要
Accurately modeling the continuous evolution of user preferences remains a fundamental challenge in sequential recommendation. While existing models have made significant strides in capturing sequential dependencies, they predominantly encode historical behaviors via discrete aggregation, often f...