CLASSIFICATION AND CLUSTERING METHODS IN THE DECREASING OF THE INTERNET COGNITIVE LOAD
Kristína Machová, Ivan Klimko · 2006
The paper focuses on solving the problem of Internet users ’ cognitive load decrease based on machine learning methods. It presents the AWS system designed to suggest Web pages. Users are provided with system’s suggestions based on their models. The AWS system is based on both classification and clustering machine learning methods. In addition, the system is able to generate information about visitor stereotypes. The system offers information about visitor models for the purpose of server content management. With the help of this information it is possible to customise the content of a server to user needs. The AWS system is an advisory system with off-line learning capabilities. It enables both so individual adaptation and the support of global server content adaptation.