Using intelligent search for finding medical sites

In this paper we present an intelligent search tool, which we developed in order to automate search and evaluation of websites. We used TFIDF heuristi cs to determine term frequency and decision trees to evaluate the quality o f sites. Training set for the decision tree contained manually evaluated we bsites. Each website was described by the combination of various attributes , complexity metrics and the evaluation. The intelligent search tool is equ ipped with a user-friendly interface, which enables people to exploit the t ool to its limits with minimum effort, in their quest for information. For testing purposes, we looked for sites with telemedical content. The set of sites, which was the result of using the intelligent search tool, has been evaluated by a group of students.