The technology that drives the personalization of user experiences in e-commerce is primarily based on machine learning and data analytics. These technologies analyze customer behavior, preferences, and past interactions to tailor the shopping experience. For instance, recommendation algorithms suggest products based on individual browsing and purchase history. This personalization not only enhances user engagement but also boosts conversion rates by making shopping more relevant and enjoyable.