Possibilities of applying machine learning in mobile applications for personalized content recommendation

The paper analyzes and reviews the application of machine learning in mobile applications for personalized content recommendation. The focus is on the significance of machine learning integration in the context of the rapidly growing mobile application market and the increasing need to personalize content for users. The study includes an overview of existing machine learning methods and techniques used in recommendation systems and emphasizes their impact on improving user experience. The paper also discusses the current challenges and limitations in the application of these technologies, including privacy and ethical issues. The final part presents a forecast of the development of machine learning technologies in mobile applications, highlighting expected innovations and improvements that can radically change the approach to content personalization and improve the effectiveness of mobile applications.