Recommender System
Recommender Systems What are they? Recommender systems are a class of information filtering methods that aim to predict user preferences or "items" that might interest the user based on their prior actions, behavior, or preferences. These systems are widely used in various domains, such as e-commerce (e.g., Amazon, eBay), entertainment (e.g., Netflix, Spotify), and social media (e.g., Facebook, LinkedIn). Examples of Recommender Systems : Amazon: The e-commerce giant uses recommender systems to suggest products that users might like based on their browsing, purchase history, and other users' behavior. Netflix: The streaming service uses recommender systems to suggest movies, TV shows, and documentaries based on users' viewing history, ratings, and preferences. Spotify: The music streaming platform uses recommender systems to recommend songs, artists, and playlists to users based on their listening history and preferences. LinkedIn: The professional network uses recomm...