AI RESEARCH
AgenticRecTune: Multi-Agent with Self-Evolving Skillhub for Recommendation System Optimization
arXiv CS.AI
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ArXi:2604.26969v1 Announce Type: cross Modern large-scale recommendation systems are typically constructed as multi-stage pipelines, encompassing pre-ranking, ranking, and re-ranking phases. While traditional recommendation research typically focuses on optimizing a specific model, such as improving the pre-ranking model structure or ranking models