Формування рекомендованого переліку фільмів для окремого глядача в інформаційній системі мережі кінотеатрів

Abstract

The use of neural networks in creating personalized content recommendations for users is considered. Described principles of operation of effective methods for creating recommendation systems, such as collaborative filtering and content filtering. Highlighted common features and drawbacks of these methods. Described the efficiency of hybrid methods that combine both approaches and can improve the system's effectiveness by avoiding each method's drawbacks.