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Towards open corpus adaptive hypermedia: A study of novelty detection approaches

Lin, YL and Brusilovsky, P (2011) Towards open corpus adaptive hypermedia: A study of novelty detection approaches. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6787 L. 353 - 358. ISSN 0302-9743

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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. © 2011 Springer-Verlag.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Lin, YL
Brusilovsky, Ppeterb@pitt.eduPETERB0000-0002-1902-1464
Date: 19 July 2011
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 6787 L
Page Range: 353 - 358
Event Type: Conference
DOI or Unique Handle: 10.1007/978-3-642-22362-4_32
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9783642223617
ISSN: 0302-9743
Other ID: ISBN: 978-3-642-22361-7
Date Deposited: 03 Aug 2012 18:32
Last Modified: 01 Aug 2019 12:55
URI: http://d-scholarship.pitt.edu/id/eprint/13292

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