Recommendation systems are tools that help users discover new products, services, or content based on their preferences and behaviors. For example, when you watch a movie on Netflix, the platform suggests other films you might enjoy, using data from your viewing history and the preferences of similar users. This personalized approach enhances your experience by making it easier to find what you like. These systems use algorithms to analyze vast amounts of data, identifying patterns and trends. Companies like Amazon and Spotify rely on recommendation systems to boost sales and engagement, ensuring that users are continually presented with options that align with their interests and needs.