The technology powering recommendation engines on e-commerce sites typically involves machine learning algorithms and data analytics. These systems analyze user behavior, preferences, and past purchases to suggest relevant products to customers, thereby enhancing the shopping experience. By personalizing recommendations, e-commerce platforms can increase customer engagement, boost sales, and improve overall satisfaction, establishing a competitive advantage in the marketplace.