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.
Original language | English (US) |
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Pages (from-to) | 3-28 |
Number of pages | 26 |
Journal | International Journal of Artificial Intelligence in Education |
Volume | 14 |
Issue number | 1 |
State | Published - 2004 |
All Science Journal Classification (ASJC) codes
- Education
- Computational Theory and Mathematics