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Towards Open Corpus Adaptive Hypermedia: A Study of Novelty Detection Approaches

  • Yi-ling Lin
  • Peter Brusilovsky
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6787)

Abstract

Classic adaptive hypermedia systems are able to track a user’s knowledge of the subject and use it to evaluate the novelty and difficulty of content encountered by the user. Our goal is to implement this functionality in an open corpus context where a domain model is not available nor is the content indexed with domain concepts. We examine methods for novelty measurement based on automatic text analysis. To compare these methods, we use an evaluation approach based on knowledge encapsulated in the structure of a textbook. Our study shows that a knowledge accumulation method adopted from the domain of intelligent tutoring systems offers a more meaningful novelty measurement than methods adapted from the area of personalized information retrieval.

Keywords

Novelty detection knowledge modeling personalization 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Yi-ling Lin
    • 1
  • Peter Brusilovsky
    • 1
  1. 1.School of Information SciencesUniversity of PittsburghPittsburghUSA

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