Under the Hood: Building the App Center recommendation engine

This post details the development of a dedicated recommendation engine for the App Center, a key discovery channel for apps. It introduces the aggregator-leaf architecture, quality determination based on user ratings and active users, and algorithmic elements including candidate selection (demographic, social, past interactions), scoring with explicit, dynamic, and learned latent features, and real-time updates to incorporate user feedback and new data.