Smart thermostats learn user preferences through a combination of machine learning, sensor data, and user interaction. They analyze the temperature settings and schedules established by users and adjust accordingly. By using motion sensors, these devices can detect when users are at home or away, allowing for more efficient energy usage. Over time, smart thermostats build a profile of user habits, which helps them optimize heating and cooling schedules, ultimately improving comfort and reducing energy costs.