Створення системи рекомендацій відеоігор у форматі telegram-бота з використанням ШІ

Abstract

This study presents a methodology for developing an AI-integrated video game recommendation system integrated into a Telegram bot. The approach uses collaborative filtering and content-based analysis to generate personalized recommendations. The use of Python and OpenAI/LangChain libraries ensures efficient data processing and natural language interaction. The proposed system enhances user experience by simplifying game discovery and providing contextual insights. It is applicable for independent gamers, gaming communities, and digital marketing platforms