Recommender Systems Questions Medium
A recommender system is a type of information filtering system that predicts and suggests items or content to users based on their preferences, interests, and past behavior. It is designed to assist users in finding relevant and personalized recommendations, such as movies, books, products, or music, from a vast amount of available options. Recommender systems utilize various algorithms and techniques, including collaborative filtering, content-based filtering, and hybrid approaches, to analyze user data and generate accurate recommendations. These systems are widely used in e-commerce platforms, streaming services, social media platforms, and other online platforms to enhance user experience, increase customer satisfaction, and drive sales.