Recommendation engines

Recommendation engines are systems that analyze your past behavior, preferences, and interactions to suggest products, movies, music, or content you might enjoy. They use algorithms to identify patterns and similarities among users and items, enabling personalized suggestions. For example, online retailers recommend products based on your browsing and purchase history, while streaming services suggest shows or music based on your listening habits. These engines aim to enhance user experience by making relevant, timely recommendations, helping you discover new items aligned with your tastes efficiently.