{
  "id": 4995046,
  "title": "User Representation via Cross Multi-source Behavior Pre-training for Mobile Games",
  "url": "https://urgent.news/2026/09/01/user-representation-via-cross-multi-source-behavior-pre-training-for",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-01T10:53:47.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.01057v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "User representation pre-training has become a fundamental paradigm for alleviating data sparsity in downstream personalization tasks. However, existing studies predominantly focus on single-app or app-level behaviors, overlooking the inherently cross-source and multi-granular nature of user activities on mobile devices. At the device level, user intent emerges from complex interactions among…",
  "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."
}