Рекомендаційна інформаційна система щодо продажу комп’ютерної техніки на основі аналізу вподобань користувачів

Abstract

A recommendation information system for selling computer hardware based on user preference analysis was developed. A web application was developed using modern technologies such as React, TypeScript, Firebase, and Tailwind CSS. The system integrates collaborative filtering algorithms, artificial intelligence, and component compatibility checking. Special attention is given to recommendation personalization and an adaptive user interface. As a result, a convenient tool was created for selecting PC configurations based on technical requirements, budget, and individual user preferences.