Real-Time Updates

- Near real-time model: update user embedding from last N clicks via incremental update - Feature freshness: update online feature store within seconds of event - Model retraining: daily full retrain, hourly incremental fine-tune - Online learning: update last-layer weights from real-time feedback (FTRL)