Pinterest Improves Embedding-Based Retrieval for Homefeed Recommendations
2025-02-14
Pinterest's engineering team significantly improved its embedding-based retrieval system for personalized and diverse content recommendations on the Homefeed. They achieved this through advanced feature crossing techniques (MaskNet and DHEN frameworks), pre-trained ID embeddings, and a revamped serving corpus with time-decayed summation. Furthermore, they explored cutting-edge methods like multi-embedding retrieval and conditional retrieval to cater to diverse user intents, resulting in increased user engagement and saves.