{
  "id": 13858728,
  "title": "FORTE: A Production Framework for Feature Evaluation and Deprecation in Industrial Recommender Systems",
  "url": "https://urgent.news/2026/10/09/forte-a-production-framework-for-feature-evaluation-and-deprecation",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-09T16:18:39.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.13806v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Production recommender systems have feature-lifecycle asymmetry: adding new features must produce gains on some metric, while feature removal must not regress any metric. In practice, feature deprecation is hard to prioritize as a feature can fail to be removed if it interacts with other features, its importance changes daily, it cannot be evaluated before production models change or data drift…",
  "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."
}