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Usage contexts for object similarity: Exploratory investigations

 
: Niemann, Katja; Schmitz, Hans-Christian; Scheffel, Maren; Wolpers, Martin

:
Postprint urn:nbn:de:0011-n-1955681 (71 KByte PDF)
MD5 Fingerprint: 241988e5497c6c35f5172a3f50c32cf9
© ACM 2011 This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution.
Erstellt am: 28.2.2012


Long, P. ; Association for Computing Machinery -ACM-:
1st International Conference on Learning Analytics and Knowledge, LAK 2011. Proceedings : Banff, AB, Canada, February 27 - March 01, 2011
New York: ACM, 2011
ISBN: 978-1-4503-0944-8
S.81-85
International Conference on Learning Analytics and Knowledge (LAK) <1, 2011, Banff>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer FIT ()
text mining; clustering; usage data analysis; usage contexts

Abstract
We present new ways of detecting semantic relations between learning resources, e.g. for recommendations, by only taking their usage but not their content into account. We take concepts used in linguistic lexicology and transfer them from their original field of application, i.e. sequences of words, to the analysis of sequences of resources extracted from user activities. In this paper we describe three initial experiments, their evaluation and further work.

: http://publica.fraunhofer.de/dokumente/N-195568.html