{
  "id": 17905457,
  "title": "SIDRec: End-to-End Semantic ID Representation and Modeling for Recommendation",
  "url": "https://urgent.news/2026/10/31/sidrec-end-to-end-semantic-id-representation-and-modeling-for",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-31T17:27:29.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2611.01136v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Semantic IDs (SIDs) have emerged as a promising approach for discriminative recommendation by encoding continuous item rep- resentations into compact discrete identifiers. However, existing SID-based methods face two fundamental limitations: semantic mis- match between content semantics and collaborative preferences, and objective mismatch between SID construction and downstream recommendation…",
  "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."
}