Online information filtering using user profile ART1 classifier and genetic algorithm

Today, getting an exact result from the huge raw data on the internet is not an easy task. Utilizing search engines is a good way, but still there is a need for a tool for personalization and having the adaptive capability according to the users´ interests. In this paper, we propose a new algorithm which uses the positive and negative feedback from the user for filtering the information. We will use ART1 classifier to generate the dynamic profile of the users and utilize the genetic algorithm to make the most suitable query to give a better result according to user´s criteria search.