Presentation: Adaptive Recommenders in the Real World: Inference, Evals, and System Design

Adaptive recommendation systems depend more on infrastructure and operational design than on the underlying model architecture. Success in these systems requires managing real-time feedback loops, retrieval latency, and multi-stage orchestration to ensure continuous learning in production environments.