GLOBE: Evolving Structured Agentic Memory for E-commerce Product Optimization in Generative Search

arXiv:2610.23709v1 Announce Type: cross Abstract: Optimizing product listings for generative search requires language agents not only to rewrite effectively but also to continually self-improve by retaining successful strategies across diverse categories. However, existing approaches often treat structured listings as free-form text, leaving effective strategies implicit in prompts, search trajectories, or rewritten outputs rather than accumulating them as a reusable agentic memory. To address this limitation, we introduce GLOBE, an agentic framework that drives continual self-improvement by s

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