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Internalizing user behavior directly into generative recommendation models can boost conversion rates by up to 4.4% without compromising model integrity.
Injecting relevance scoring directly into LLM-based query rewriting boosts e-commerce search relevance and user conversion, outperforming generation-focused methods.
