A recommendation system is a type of algorithm used to predict and suggest items to users based on their preferences and behaviors. These systems analyze large amounts of user data, such as past purchases, browsing history, and ratings, to provide personalized suggestions. Recommendation systems can be categorized into three types: collaborative filtering, content-based filtering, and hybrid methods.
Collaborative filtering makes recommendations based on the preferences of similar users, while content-based filtering suggests items based on their characteristics and how they match the user’s profile. Hybrid methods combine both approaches to improve accuracy. Recommendation systems are widely used in e-commerce, entertainment (such as movie recommendations on Netflix), and social media platforms to enhance user experience and drive engagement.