Abstract
Online platforms have become an integral part of our lives, and the number of users is increasing by the day. From social media platforms to e-commerce websites, these platforms are used by millions of people around the world. With such a large user base, it is essential for these platforms to classify their users based on their behavior, preferences, and interests. This paper explores how machine learning can be used to classify users on online platforms. When classifying users, they are divided into different categories based on their characteristics. By analyzing user behavior and preferences, online platforms can personalize their services and provide a better user experience. Machine learning techniques can help online platforms automate the classification process and reduce human effort. In this article, the behavioral classification of users on online platforms will be discussed in detail.
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Schedule a callMore From: Bulletin of Taras Shevchenko National University of Kyiv. Series: Physics and Mathematics
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