Preprint
Sep 2026
EvoSkillRec: Skill-Genome Evolution for Recommender Architecture Discovery
Modern recommender systems advance not only by scaling data and parameters, but also by encoding task-specific inductive biases through architecture, including sparse feature interactions for click-through rate (CTR) prediction, temporal attention for sequential recommendation, and expert routing for multi-task learnin...
Xiao-Peng Li, Kuo Cai, Bo Chen et al.
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