AI RESEARCH

LiveGraph: Active-Structure Neural Re-ranking for Exercise Recommendation

arXiv CS.LG

ArXi:2602.17036v2 Announce Type: replace-cross The continuous expansion of digital learning environments has catalyzed the demand for intelligent systems capable of providing personalized educational content. While current exercise recommendation frameworks have made significant strides, they frequently encounter obstacles regarding the long-tailed distribution of student engagement and the failure to adapt to idiosyncratic learning trajectories. We present LiveGraph, a novel active-structure neural re-ranking framework designed to overcome these limitations.