Personalized Web Services Selection

With so much information available on the Web portals, finding what is exactly needed is a big problem. Intelligent agents can take “instructions” about the types of things a person is interested in, report immediate findings, remember search parameters over time, repeat the search at intervals to adapt the results, and create customized research lists. Tools that make it easier to find, retrieve, and organize information will be in demand more and more as the amount of available information continues to increase. In this chapter, we present a Collaborative Autonomous Interface Agent (CAIA) that will collaborate with the Internet search engines (i.e. Google) and support communities of people in finding exactly the information consistent with the their interest. The CAIA uses data mining and machine learning techniques in order to learn and discover user’s preferences. The rest of this chapter ABSTRACT