Collaborative Information Filtering: A Review and an Educational Application

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.

• Type: Journal
• Year: 2004
• Where: AIEDU
• Authors: Andrew Walker, Mimi Recker, Kimberly Lawless, David Wiley
• Keywords: AIEDU 2004, Information Filtering Technique, Particular User Communities, Statistical Clustering Techniques