Використання GPT-моделей для персоналізованого вибору фільмів у telegram-боті

Abstract

This work is devoted to the development of a Telegram bot for personalized movie recommendations using OpenAI’s GPT models. Unlike traditional recommendation systems that rely on collaborative filtering, GPT analyzes user queries in natural language, considering context and emotions. The system integrates GPT via the OpenAI API and retrieves detailed movie data from TMDb. This approach enhances recommendation accuracy and user experience.