{
  "schema_version": "newruntime-topic-hub-v0.1",
  "type": "topic_hub",
  "slug": "personalization",
  "title": "Personalization - New Runtime",
  "description": "A New Runtime topic hub collecting signals, patterns, field notes, and public sources about personalization.",
  "answer": [
    "Personalization is tracked here as an evidence-linked topic, not as a static glossary entry.",
    "The page connects raw observations to pattern hypotheses, longer analysis, and public sources.",
    "Use it as the canonical landing page before drilling into individual records."
  ],
  "search_intents": [
    "personalization",
    "personalization AI agents",
    "personalization software"
  ],
  "status": "tracked",
  "last_updated": "2026-07-15",
  "counts": {
    "total": 5,
    "signals": 5,
    "patterns": 0,
    "posts": 0,
    "atlas": 0,
    "sources": 5
  },
  "routes": {
    "html": "https://newruntime.com/topics/personalization/",
    "markdown": "https://newruntime.com/topics/personalization.md",
    "json": "https://newruntime.com/topics/personalization.json"
  },
  "top_sources": [
    "https://arxiv.org/abs/2606.31031",
    "https://careersatdoordash.com/blog/building-doordash-assistant-an-engineering-overview",
    "https://careersatdoordash.com/blog/doordash-unified-consumer-memory-for-personalization-at-scale",
    "https://openai.com/index/chatgpt-memory-dreaming",
    "https://openai.com/index/preply"
  ],
  "patterns": [],
  "field_notes": [],
  "raw_signals": [
    {
      "kind": "Raw Signal",
      "slug": "netflix-generates-the-whole-page",
      "title": "Netflix experiments with generating the whole recommendation page",
      "description": "GenPage represents a personalized homepage as a structured sequence generated by one model rather than a fixed ranking pipeline.",
      "date": "2026-07-15",
      "topics": [
        "generative-ui",
        "recommendation-systems",
        "personalization"
      ],
      "source_count": 1,
      "metric": "structural",
      "url": "https://newruntime.com/signals/netflix-generates-the-whole-page/"
    },
    {
      "kind": "Raw Signal",
      "slug": "doordash-assistant-builds-the-cart-instead-of-giving-advice",
      "title": "DoorDash Assistant Builds the Cart Instead of Giving Advice",
      "description": "The assistant combines retrieval, personalization, and transaction tools so the product result is an editable action state, not prose.",
      "date": "2026-06-24",
      "topics": [
        "consumer-agents",
        "personalization",
        "tool-use"
      ],
      "source_count": 1,
      "metric": "notable",
      "url": "https://newruntime.com/signals/doordash-assistant-builds-the-cart-instead-of-giving-advice/"
    },
    {
      "kind": "Raw Signal",
      "slug": "doordash-memory-is-versioned-personalization-layer",
      "title": "DoorDash makes memory a versioned personalization layer",
      "description": "DoorDash builds structured memory blocks from behavior and stores model, schema, timestamp, prompt, and response lineage for each component.",
      "date": "2026-06-24",
      "topics": [
        "agent-memory",
        "personalization",
        "data-lineage"
      ],
      "source_count": 1,
      "metric": "structural",
      "url": "https://newruntime.com/signals/doordash-memory-is-versioned-personalization-layer/"
    },
    {
      "kind": "Raw Signal",
      "slug": "preply-uses-each-lesson-as-context-for-the-next",
      "title": "Preply Uses Each Lesson as Context for the Next",
      "description": "A production learning system converts session events into durable learner context, demonstrating a write-and-reuse loop rather than stateless personalization.",
      "date": "2026-06-24",
      "topics": [
        "personalization",
        "memory",
        "education"
      ],
      "source_count": 1,
      "metric": "notable",
      "url": "https://newruntime.com/signals/preply-uses-each-lesson-as-context-for-the-next/"
    },
    {
      "kind": "Raw Signal",
      "slug": "chatgpt-uses-offline-consolidation-to-improve-memory",
      "title": "ChatGPT Uses Offline Consolidation to Improve Memory",
      "description": "A memory system can revisit prior interactions outside the live conversation, turning passive storage into an active process of consolidation and personalization.",
      "date": "2026-06-18",
      "topics": [
        "chatgpt",
        "memory",
        "personalization"
      ],
      "source_count": 1,
      "metric": "notable",
      "url": "https://newruntime.com/signals/chatgpt-uses-offline-consolidation-to-improve-memory/"
    }
  ],
  "atlas_records": []
}