{
  "id": 4770764,
  "title": "Generative Retrieval for E-commerce: Jointly Learning Embedding and Codebook with Same Product Cluster",
  "url": "https://urgent.news/2026/08/31/generative-retrieval-for-e-commerce-jointly-learning-embedding-and",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-31T11:18:52.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.30606v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "With the development of large language models (LLMs), generative retrieval is becoming increasingly important in e-commerce scenarios. Current mainstream approaches typically use a two-stage training strategy: first train a product embedding model, and then learn a codebook that maps embeddings to product IDs. This cascaded approach suffers from two major issues: (1) error accumulation-if the…",
  "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."
}