{
  "id": 4770771,
  "title": "Preference Shapes Relevance: Cross-component Hierarchical Semantic Alignment for Personalized Generative Retrieval",
  "url": "https://urgent.news/2026/08/31/preference-shapes-relevance-cross-component-hierarchical-semantic",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-31T10:30:22.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.30553v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Generative Retrieval (GR) has emerged as a promising paradigm by mapping queries directly to Semantic IDs (SIDs) with powerful representation capabilities for candidate items. However, existing SIDs derived solely from item content create a semantic gap, failing to align dynamic query intents with static item representations. Furthermore, current generative paradigms rarely model user behavior…",
  "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."
}