Recurrent Neural Networks

Recommender Systems are algorithms designed to analyze user data, such as preferences and behavior patterns, to suggest personalized items like products, movies, or music. They enhance user experience by providing relevant suggestions, improving engagement, and increasing efficiency in decision-making. These systems utilize techniques like collaborative filtering and content-based filtering to predict user interests accurately.