This blog post discusses the evolution and scaling of Conditional Learned Retrieval (CLR) for Pinterest's home feed, detailing the technical improvements made to enhance user-to-item retrieval by incorporating more diverse and context-aware user embeddings. It covers model architecture changes, infrastructure optimizations for efficiency, and future plans for expanding CLR's applications across various surfaces and condition types, resulting in significant cost savings and improved performance metrics.