Interaction Profiling in Digital Libraries through Learning Tools

  • G. Semeraro
  • F. Esposito
  • N. Fanizzi
  • S. Ferilli
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1923)


We present improvements to a learning module, the Learn- ing Server, to be exploited in a digital library system for supporting document management tasks as well as for providing a form of user interface adaptivity based on user classification. Indeed, our system is equipped with a web-based environment endowed with visual tools that are thought for improving the interaction of inexperienced users and for supporting experienced users in an effective accomplishment of their re- trieval tasks. By logging user interaction, the Learning Server is able to suggest the most suitable interaction tools for each user.


Decision Tree Digital Library Training Instance Information Item User Class 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • G. Semeraro
    • 1
  • F. Esposito
    • 1
  • N. Fanizzi
    • 1
  • S. Ferilli
    • 1
  1. 1.Dipartimento di InformaticaUniversità di Bari Via OrabonaBariItaly

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