Design Netflix's Video Recommendation System — offline training meets real-time serving.

The large-scale ML-serving problem: the full pipeline from user-behavior data collection through offline model training to a real-time recommendation-serving layer, how recommendations get personalized for hundreds of millions of users, and how the system handles the cold-start problem for a brand-new user with no watch history yet.