Introduction: The Critical Role of User Behavior Data in Hyper-Personalization Achieving truly hyper-personalized recommendations hinges on the granular collection and sophisticated processing of user behavior data. Unlike traditional recommendation systems that rely on static profiles or limited interaction signals, hyper-personalization demands real-time, high-fidelity behavioral insights that inform dynamic, context-aware suggestions. This guide dives into the […]