Recommendation systems in online stores typically utilize algorithms like collaborative filtering and content-based filtering. These technologies analyze user behavior, such as past purchases and browsing habits, to suggest products that might interest customers. By leveraging big data and machine learning, online retailers can personalize the shopping experience, ultimately enhancing customer satisfaction and increasing sales.