כתבה
arXiv cs.LG ·
LiveGraph: Active-Structure Neural Re-ranking להמלצות תרגילים
LiveGraph: Active-Structure Neural Re-ranking for Exercise Recommendation
LiveGraph הוא פרקטיקה חדשה להמלצות תרגילים, המשלבת רשת נוירונים פעילה-מבנית לשיפור דיוק ומגוון
תקציר מקורי באנגליתarXiv:2602.17036v4 Announce Type: replace-cross Abstract: 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. Our approach utilizes a graph-based representation enhancement strategy to bridge the information gap between active and inactive students while integrating a dynamic re-ranking mechanism to foster content diversity. By pri
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arxiv.org
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