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EvoRec: A Unified Self-Evolving Agentic Recommender with Dynamic Reflection Trees
Conventional recommender systems rely on fixed cascaded pipelines, limiting their ability to adapt to evolving user needs and feedback. Existing agentic recommenders introduce reasoning and tool use but often lack end-to-end decision control and systematic failure reflection. We propose EvoRec, a un
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