In this post, Lucia Yu describes how Etsy uses personalized search ranking models to help users find items aligned with their tastes and interests. Their ML-driven search pipeline applies a candidate selection model before a more computationally expensive search ranking model to reduce latency. The search ranking algorithm is an ensemble model that uses features that represent user preferences.