Finding relevant information effectively on the Internet is a challenging task. Although the information is widely available, exploring Web sites and selecting the right document are still considered a time consuming and tedious task. As a result, many software agents have been launched in cyberspace to perform autonomous information gathering and filtering on behalf of its users. One of the important issues for these agents is to adapt to the changing interests of the users. In this paper, we present Alipes, an Information Brokering Agent that learns user’s interests and provides personalized news articles retrieved from the Internet.