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Anhui University
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LLM-derived user profiles can be powerfully leveraged for recommendation via a surprisingly simple distribution shaping approach, outperforming more complex fusion methods.
LLMs can hallucinate enough signal to make cross-domain recommendations work even when users have no overlapping history.
