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)|
|Number of pages||26|
|Journal||International Journal of Artificial Intelligence in Education|
|State||Published - 2004|
All Science Journal Classification (ASJC) codes
- Computational Theory and Mathematics