recommender systems

Recommender systems are tools used to suggest products, services, or content to users based on their preferences and behavior. They analyze data about what you've liked or purchased in the past, as well as what similar users enjoy. For example, streaming services recommend movies based on your viewing history, and online retailers suggest items based on your previous purchases. By leveraging algorithms, these systems aim to make personalized recommendations that enhance your experience and help you discover new favorites.