Video Content Recommendation

Let me walk you through how I'd design a video content recommendation system in production/the company Watch scale. I'll go stage by stage – business and ML objectives, high-level design, data and feature strategy, embeddings, pipeline architecture including modeling and training details, infrastructure, evaluation, and robustness. Video recommendation has unique challenges around session-based consumption, completion prediction, and balancing immediate engagement with long-term satisfaction.