{
  "id": 4544335,
  "title": "Timing-Aware Repurchase Prediction for Web-Scale E-Commerce: Survival Models for Multi-Surface Grocery Recommendation",
  "url": "https://urgent.news/2026/08/28/timing-aware-repurchase-prediction-for-web-scale-e-commerce-survival",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-28T14:49:03.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.28393v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Repurchase recommenders in e-commerce are commonly framed as a binary question asking \"will this customer buy this item within W days\", a formulation that requires a separately trained model for every horizon of interest. We replace this stack with survival models that predict time-to-repurchase directly, and evaluate them on millions of customers from a major grocery e-commerce platform across…",
  "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."
}