5 articles
This paper presents a Contextual Sequential Two-Tower Model for Pinterest ads that integrates real-time context into sequential recommender systems.
Pinterest built an ML model optimizing shopping conversions by addressing sparse offsite conversion events.
Pinterest unified three separate ads engagement models for Home Feed, Search, and Related Pins into one shared architecture.
Pinterest introduced a GPU-served two-tower model using MMOE-DCN architecture for lightweight ads engagement prediction.
Spotify's ads team describes how they re-architected their serving stack to replace the Two-Tower model with more expressive neural networks capable of deep feature interactions.
