Recommender System for Website Content Management System Selection

The aim of this study is to automate the process of selecting content management systems based only on company profile data. In this study, a web-browser scenario has been developed to extract enterprise data from publicly available sources. The study was carried out in the Republic of Lithuania. The analysis of the data mining models showed that by applying the Decision Tree algorithm to the classification problem, it is possible to achieve model accuracy of more than 90% in predicting the CMS used by companies based on company profile data.