Розробка сервісу для пошуку новин на основі уподобань користувача

Abstract

The work focuses on the analysis and development of a Telegram bot designed for personalized news search based on user preferences. By integrating user-provided preferences and channel subscriptions, the bot employs text analysis and machine learning techniques to identify relevant news items and notify users. The study examines the challenges in implementing real-time data processing and ensuring scalability of the service.