Information System for Analysis of Hardware Computer Components

The research is dedicated to the development of a system for analyzing computer hardware for easy assembly of a computer, to a complete analysis of the configuration and ways to solve PC problems. A study of existing software applications for the analysis of computer hardware was accomplished, and methods for providing recommendations were investigated. When it comes to computer components, it is more efficient to offer suggestions tailored to specific user groups. The method of mixed categorical-numerical clustering is applied for search of user groups. The working algorithm of the hybrid recommendation system generates a set of proposals depending on the variety of formulated user requirements. The recommendation system with an accuracy of 87.5% correctly determines the type, parameters and generates suggestions for improving the personal computer configuration.