{
  "id": 15557454,
  "title": "GLOBE: Evolving Structured Agentic Memory for E-commerce Product Optimization in Generative Search",
  "url": "https://urgent.news/2026/10/16/globe-evolving-structured-agentic-memory-for-e-commerce-product",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-16T16:33:17.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.23709v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "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…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}