AIBullisharXiv – CS AI · 5h ago6/10
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Mind the Gap: Bridging Behavioral Silos with LLMs in Multi-Vertical Recommendations
Researchers propose a novel framework using Large Language Models and Retrieval-Augmented Generation to address the cold-start problem in multi-vertical e-commerce platforms by transferring behavioral knowledge from data-rich verticals like restaurants to emerging categories like grocery and retail. The approach synthesizes hierarchical taxonomic features from user order histories and integrates them into a Multi-Task Learning ranking model, demonstrating improved personalization in production environments.