Usage Context-Boosted Filtering for Recommender Systems in TEL

  • Katja Niemann
  • Martin Wolpers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8095)


In this paper, we introduce a new way of detecting semantic similarities between learning objects by analysing their usage in web portals. Our approach does not rely on the content of the learning objects or on the relations between users and learning objects but on the usage-based relations between the objects themselves. We take this new semantic similarity measure to enhance existing recommendation approaches for use in technology enhanced learning.


item similarity recommender systems usage context 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Katja Niemann
    • 1
  • Martin Wolpers
    • 1
  1. 1.Schloss BirlinghovenFraunhofer Institute for Applied Information Technology FITSankt AugustinGermany

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