Users waste time downloading pages that turn out to have no interest to them. Interesting pages are often overlooked.
Modern browsers allow the user to specify search strings.
This paper experimentally investigates a different approach based on learning user WWW pages preferences from examples. WWW users were drawn from a class of students. The experiments show that the Inductive Logic Programming algorithm Progol gives overall significant predictive accuracy of user interests. However, the results are highly polarized. Some users are very predictable and others not.