DEVELOPMENT OF RECOMMENDER SYSTEM ALGORITHMS ON THE EXAMPLE OF AN ONLINE BOOKSTORE.

In this paper, we consider the development and implementation of recommender system algorithms in the context of an online bookstore. By using data analysis, machine learning and artificial intelligence techniques, online bookstores can effectively capture user preferences and offer book recommendations relevant to each user. These personalized recommendations not only help users discover new and engaging content, but also help increase user engagement.