Smart assistants personalize user experiences by utilizing machine learning and natural language processing to analyze user preferences, behaviors, and interactions. By understanding context and individual needs, smart assistants can provide tailored recommendations, reminders, and responses. They learn over time, adapting to user habits and optimizing interactions. This personalization not only enhances convenience and efficiency but also fosters deeper engagement with technology, leading to improved overall satisfaction.