Social Navigation Support in a Course Recommendation System

  • Rosta Farzan
  • Peter Brusilovsky
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4018)


The volume of course-related information available to students is rapidly increasing. This abundance of information has created the need to help students find, organize, and use resources that match their individual goals, interests, and current knowledge. Our system, CourseAgent, presented in this paper, is an adaptive community-based hypermedia system, which provides social navigation course recommendations based on students’ assessment of course relevance to their career goals. CourseAgent obtains students’ explicit feedback as part of their natural interactivity with the system. This work presents our approach to eliciting explicit student feedback and then evaluates this approach.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Rosta Farzan
    • 1
  • Peter Brusilovsky
    • 1
    • 2
  1. 1.Intelligent Systems Program and University of PittsburghPittsburghUSA
  2. 2.School of Information SciencesUniversity of PittsburghPittsburghUSA

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