User behavior prediction is a research field and methodological approach dedicated to forecasting the future actions, interactions, and preferences of individual users or user groups. It investigates the underlying patterns and drivers of human-system interaction by employing computational techniques, such as machine learning and statistical modeling, to analyze historical data and contextual information. The significance of this field lies in its capacity to inform system design, personalize user experiences, optimize resource allocation, and enable proactive interventions across diverse applications.