International Journal of Artificial Intelligence and Education
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.
Walker, A., Recker, M., Lawless, K., & Wiley, D. (2004). Collaborative information filtering: A review and an educational application. International Journal of Artificial Intelligence and Education. 14, 1-26.
Educational Assessment, Evaluation, and Research Commons, Instructional Media Design Commons
Originally published by IOS Press. 's PDF available.