Since 2020, aggregated from related topics
Recommendation systems are a type of information filtering system that predicts the preferences or interests of a user and provides personalized recommendations of items such as products, movies, music, and articles. These systems use algorithms to analyze user data, such as past behaviors, ratings, and interactions, in order to make accurate and relevant recommendations. Recommendation systems are extensively used in e-commerce websites, streaming platforms, social media sites, and other online platforms to enhance user experience, increase engagement, and drive sales. Some common types of recommendation systems include collaborative filtering, content-based filtering, and hybrid systems that combine both approaches.