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Researchers from Politecnico di Bari investigate memorization of recommendation datasets in Large Language Models (LLMs), revealing that models like GPT-4 have memorized up to 80.76% of MovieLens-1M items while demonstrating how this memorization correlates with recommendation performance and exhibits strong popularity bias effects.