Meta details a multi-stage ads ranking architecture leveraging sequential user interaction data and scaling laws. The system processes billions of daily interactions to model user intent and preferences without manual feature engineering. This approach highlights how large-scale consumer platforms apply advanced sequence modeling and scaling principles to recommendation systems.
Opening Kapyn…