Інформаційна система продажу залізничних квитків з персоналізованими рекомендаціями

Abstract

This paper presents a railway ticket sales information system with personalized travel recommendations. The system automates route and schedule management, carriage composition, fare setting, and ticket booking. Based on user ticket history, route popularity, train occupancy, and changes in ticket prices, the system generates relevant travel suggestions. The recommendation mechanism relies on the analysis of data stored in the system database. The proposed approach improves service quality and increases the efficiency of ticket sales.