A recommendation system is a type of software that suggests products, services, or content to users based on their preferences and behaviors. These systems analyze data from user interactions, such as past purchases or ratings, to identify patterns and make personalized suggestions. Common examples include movie recommendations on Netflix and product suggestions on Amazon. There are two main types of recommendation systems: collaborative filtering and content-based filtering. Collaborative filtering relies on the preferences of similar users to make recommendations, while content-based filtering uses the characteristics of items to suggest similar ones. Both methods aim to enhance user experience by providing relevant options.