Advertisement

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)

Abstract

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.

Keywords

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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    D. Banyon and D. Murray. Applying user modeling to human-computer interac-tion design. Artificial Intelligence Review, 7:199–225, 1993.CrossRefGoogle Scholar
  2. [2]
    P. A. Bernstein. Middleware: A model for distributed system services. Commu-nications of the ACM, 39(2):86–98, 1996.CrossRefGoogle Scholar
  3. [3]
    M.F. Costabile, F. Esposito, G. Semeraro, and N. Fanizzi. An adaptive vi-sual environment for digital libraries. International Journal of Digital Libraries, 2(2+3):124–143, 1999.CrossRefGoogle Scholar
  4. [4]
    M.F. Costabile, F. Esposito, G. Semeraro, N. Fanizzi, and S. Ferilli. Interacting with IDL: The adaptive visual interface. In Research and Advanced Technology for Digital Libraries. Proceedings of the 2nd European Conference-ECDL98, volume 1513 of Lecture Notes in Computer Science, pages 515–534. Springer, 1998.Google Scholar
  5. [5]
    F. Esposito, D. Malerba, and G. Semeraro. Multistrategy learning for document recognition. Applied Artificial Intelligence, 8(1):33–84, 1994.CrossRefGoogle Scholar
  6. [6]
    F. Esposito, D. Malerba, G. Semeraro, N. Fanizzi, and S. Ferilli. Adding machine learning and knowledge intensive techniques to a digital library service. Interna-tional Journal of Digital Libraries, 2(1):3–19, 1998.CrossRefGoogle Scholar
  7. [7]
    M.C. McChesney. Banking in cyberspace: An investment in itself. IEEE Spectrum, pages 54–59, February 1997.CrossRefGoogle Scholar
  8. [8]
    V.S. Moustakis and J. Herrmann. Where do machine learning and human-computer interaction meet? Applied Artificial Intelligence, 11:595–609, 1997.CrossRefGoogle Scholar
  9. [9]
    J.R. Quinlan. C4.5: Programs for Machine Learning. Morgan Kaufmann San Mateo, CA, 1993.Google Scholar
  10. [10]
    G. Semeraro, M. F. Costabile, F. Esposito, N. Fanizzi, and S. Ferilli. A learning server for inducing user classi_cation rules in a digital library service. In Z.W. Raś and A. Skowron, editors, Proceedings of the 11th International Symposium on Methodologies for Intelligent Systems, volume 1609 of Lecture Notes on Artificial Intelligence, pages 208–216. Springer, 1999.Google Scholar
  11. [11]
    G. Semeraro, F. Esposito, D. Malerba, N. Fanizzi, and S. Ferilli. Machine learning + on-line libraries = IDL. In C. Peters and C. Thanos, editors, Research and Advanced Technology for Digital Libraries. First European Conference-ECDL97, volume 1324 of Lecture Notes in Computer Science, pages 195–214. Springer, 1997.Google Scholar
  12. [12]
    P.E. Utgoff, N. Berkman, and J.A. Clouse. Decision tree induction based on efficient tree restructuring. Machine Learning, 29:5–44, 1997.CrossRefGoogle Scholar
  13. [13]
    I. H. Witten and E. Frank. Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann, 1999.Google Scholar
  14. [14]
    M. Zizi and M. Beaudouin-Lafon. Hypermedia exploration with interactive dy-namic maps. International Journal on Human-Computer Studies, 43:441–464, 1995.CrossRefGoogle Scholar

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

Personalised recommendations