FiPaWeb: A method for filtering web pages based on user needs
The rapid evolution of technology and the widespread use of Internet have provided a wealth of information sources available on the Web. These sources present problems: heterogeneity of content, availability of information, lots of irrelevant information. Recent work has suggested different ways to group similar sources of information, trying to solve the problems. However, there are more complex than other domains, where to find the solution is even more complex problem. In this paper, we propose a method to retrieve and group web information sources based on the information provided to allow users to get accurate answers, reducing time and complexity in the search. To validate the proposed model, a case study is presented in the domain of tourism.