GLOBE: Evolving Structured Agentic Memory for E-commerce Product Optimization in Generative Search
Introduces novel architecture for agent memory and self-improvement in commercial applications with experimental validation.
AI Summary
Researchers propose GLOBE, an agentic framework with evolving structured memory that improves e-commerce product optimization through feedback-driven behavior evolution and moderation.
Excerpt
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 fra