Event Recommendation System

Let me walk you through how I'd design an event recommendation system at production 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. Events have unique characteristics: they're time-bound, location-dependent, have limited capacity, and require advance commitment, making this different from content recommendation.