| As the Internet continues its explosive growth, the need for personalized searching tools to access the Internet is increasing since famous search engines are built to serve all users, independent of the needs of any individual user. In this thesis, we address the issue of personalization of Internet search. A system has been designed, fully implemented and named CAIA (Collaborative Autonomous Interface Agent). CAIA is developed to reside in the user's machine not in the Internet to make all private information on his/her machine. CAIA supports communities of people in searching the Internet collaboratively by means of popular search engines. CAIA learns the user's preferences either explicitly or implicitly from his/her browsing behavior. Those behaviors are based on a survey conducted earlier in this survey. It then stores them along with the Websites' information in a User Profile (UP). (Abstract shortened by UMI.)... |
