Collaborative Information Filtering: A Review and an Educational Application

  • Authors:
  • Andrew Walker;Mimi M. Recker;Kimberly Lawless;David Wiley

  • Affiliations:
  • College of Education, Lehigh University, Bethlehem, PA 18015, USA. andy.walker@usu.edu;Department of Instructional Technology, Utah State University, Logan, UT, 84322-2830, USA. mimi.recker@usu.edu;Department of Education, University of Illinois, Chicago, Chicago, IL, USA. klawless@uic.edu;Department of Instructional Technology, Utah State University, Logan, UT, 84322-2830, USA

  • Venue:
  • International Journal of Artificial Intelligence in Education
  • Year:
  • 2004

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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.