Quantifying User Behavior Patterns to Build Better Predictive Features

Traditional static user profiles fail to capture dynamic user intent. Modeling behavior as temporally evolving action graphs and measuring features like behavioral velocity and depth can improve predictive analytics for user engagement and retention.