The function of a recommendation system in e-commerce is to analyze customer data and behavior to suggest products that individuals are likely to purchase. These systems utilize various algorithms, including collaborative filtering and content-based filtering, to offer personalized recommendations based on users’ interests, preferences, and past purchases. By tailoring product suggestions, businesses can enhance customer experiences, increase sales, and foster customer loyalty. Effective recommendation systems play a crucial role in driving conversions and optimizing the overall shopping experience.