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A unified taxonomy reveals how agentic architectures can transform recommender systems into more autonomous and interactive entities.
Surprisingly, the "think before answer" paradigm fails to enhance generative recommendation models, prompting a novel approach that redefines how reasoning is integrated into these systems.
