{
  "id": 2917977,
  "title": "Adapting Knowledge Graphs for Behavior Denoising in Sequential Recommendation",
  "url": "https://urgent.news/2026/08/21/adapting-knowledge-graphs-for-behavior-denoising-in-sequential",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-21T15:54:39.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.21243v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Sequential recommendation predicts the next item from a user's interaction history, but not every interaction is equally informative. Real logs combine persistent preferences with temporary needs, exploration, and incidental behavior, so some interactions can distort history representations or provide unreliable supervision. Existing denoising methods judge such interactions mainly from…",
  "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."
}