This paper reviews the literature surrounding an information filtering technique, collaborative
information filtering, which supports the discovery of resources in a way that is sensitive to the context of
users. Moreover, via statistical clustering techniques, the system supports automated, personalized filtering
and recommendation of relevant resources and like-minded users for particular user communities. The
paper also describes an educational implementation of this approach, called Altered Vista, and presents
results from a 3-month trial use of the system, aimed at evaluating the educational effectiveness and
usefulness of the approach.