Information technology for movie recommendations using neural network methods

Movie recommendation systems are software programs that suggest movies to users based on their viewing history, ratings, and preferences. These systems use algorithms and machine learning techniques to analyze data and generate personalized recommendations for users. With the increasing amount of content available on streaming platforms, movie recommendation systems have become essential in helping users discover movies that they are likely to enjoy. In this article, I will discuss the existing limitations of the movie recommendation system and explore a new approach that may overcome some of them.