Collaborative Information Filtering: A Review and an Educational Application

Authors

Andrew Walker, Utah State UniversityFollow
Mimi Recker, Utah State UniversityFollow
Kimberly Lawless, University of Illinois, Chicago
David A. Wiley, Utah State UniversityFollow

Document Type

Article

Journal/Book Title/Conference

International Journal of Artificial Intelligence and Education

Volume

14

Issue

1

Publisher

IOS Press

Publication Date

2004

First Page

1

Last Page

26

Abstract

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.

Comments

Originally published by IOS Press. 's PDF available.

Recommended Citation

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.