Tools for Personalised Presentation of Information

  • Euan Dempster
  • Daniel Pacey
  • M. Howard Williams
  • Alison Cawsey
  • David Marwick
  • Lachlan MacKinnon
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2712)


There is a growing interest in personalisation techniques due to the rapid expansion of information systems on the Internet and the increasing dependence on the latter for access to information and services. Personalisation techniques are used to present information that is relevant to the user, and in a form that suits the user or is most desirable from the point of view of the information provider. Opportunities for personalisation are arising from the recent improvements in communication and information systems and the growing links between the two. This paper discusses briefly a framework for personalisation and an initial prototype toolkit.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    A. Kobsa, Generic User Modeling Systems. User Modeling and User-Adapted Interaction 11(1–2), Ten Year Anniversary Issue, 49–63 (2001)zbMATHCrossRefGoogle Scholar
  2. 2.
    Ardissono, L., Goy, A., Tailoring the interaction with users in electronic shops. In Kay, J., (ed), User Modelling: Proceedings of the Seventh International Conference, UM99, Springer (1999)Google Scholar
  3. 3.
    Cheverst, K., Davies, N., Mitchell, K., Smith, P., Providing tailored (context-aware) information to city visitors. in Brusilovsky, P., Stock, O., Strapparava, C., (eds), Adaptive Hypermedia and Adaptive Web-Based Systems, 73–85. Springer (2000)Google Scholar
  4. 4.
    D. S. Bental, M. H. Williams, D. Pacey, A. J. Cawsey, L. M. McKinnon and D.H. Marwick, Dynamic personalization of Web resources for presenting healthcare information, Proc. MEDICON 2001, Croatia, June 2001, IFMBE Proceedings, 86–89 (2001)Google Scholar
  5. 5.
    Bental D., MacKinnon L., Williams H., Marwick D., Pacey D., Dempster E., Cawsey A., Dynamic Information Presentation through Web-based Personalisation and Adaptation-An Initial Review, In Joint Proccedings of HCI 2001 and IHM 2001, A Blandford, J Vanderdonckt, P Gray (Eds), pp 485–500, Springer (2001)Google Scholar
  6. 6.
    Orwant, J., Heterogeneous Learning in the Doppelgänger User Modeling System. User Modeling and User-Adapted Interaction, 4(2): 107–130 (1995)CrossRefGoogle Scholar
  7. 7.
    Finin, Tim and David Drager, GUMS-A General User Modeling System, Proceedings of the 1986 Canadian Society for Computational Studies of Intelligence (CSCSI-86) (1986)Google Scholar
  8. 8.
    Brajnik G., Guida G. and Tasso C. Design and Experimentation of IR-NLI: An Intelligent User Interface to Bibliographic Data Bases. In L. Kerschberg (Ed.), Expert Database Systems-Proceedings From the First International Conference, The Benjamin/Cummings, Menlo Park, CA, pp. 151–162. (EDS Conference 1986, Charleston, South Carolina (1987)Google Scholar
  9. 9.
    Brajnik G., Guida G. and Tasso C. User Modelling in Intelligent Information Retrieval. Information Processing & Management, 23(4), pp. 305–320 (1987)CrossRefGoogle Scholar
  10. 10.
    Brajnik G. and Tasso C., A Flexible Tool for Developing User Modeling Applications with Nonmonotonic Reasoning Capabilities. In E. André, R. Cohen, W. Graf, B. Kass, C. Paris, W. Wahlster (Eds.) UM92-Third International Workshop on User Modeling — Proceedings, August 9–13 1992, DFKI — Deutsche Forschungszentrum fuer Kuenstliche Intelligenz, Kaiserslautern, FRG, pp. 42–66 (1992)Google Scholar
  11. 11.
    Strachan, L., Anderson, J., Sneesby, M., and Evans, M.. Pragmatic User Modeling in a Commercial Software System. In Jameson, A., Paris, C., and Tasso, C., eds., User Modeling: Proceedings of the Sixth International Conference, Wien, New York. Springer-Verlag, 189–200 (1997)Google Scholar
  12. 12.
    Schwab, I., A. Kobsa and I. Koychev, Learning about Users from Observation. In: Adaptive User Interfaces: Papers from the 2000 AAAI Spring Symposium. Menlo Park, CA: AAAI Press (2000)Google Scholar
  13. 13.
    H. Vergara. PROTUM: A Prolog Based Tool for User Modeling. WIS Memo 10, WG Knowledge-Based Information Systems, Department of Information Science, University of Konstanz, Germany (1994)Google Scholar
  14. 14.
    Volokh, E., Personalization and privacy. Communications of the ACM, Vol 43, Number 8, 84–88 (2000)CrossRefGoogle Scholar
  15. 15.
    Gamma, E., Helm, R., Johnson, R., Vlissides, J., Design Patterns: Elements of Reusable Object-Oriented Software. Addison Wesley (1995)Google Scholar
  16. 16.
    Conallen, J., Modeling Web Application Architectures with UML, Communications of the ACM, October 1999, Volume 42 Issue 10 (1999)Google Scholar
  17. 17.
    Instone, K., An Information Architecture-Based Framework for Personalization Systems, position paper for the CHI 2000 workshop “Designing Interactive Systems for 1-to-1 Ecommerce” (2000)Google Scholar
  18. 18.
    Kamyab, K., Charlton, P. and Mamdani, E., An Ontological Framework to Support Affective Personalisation Services in an Open Agent. Architecture International Workshop on Affect in Interactions, Annual Conference of the EC I3 Programme, Siena (1999)Google Scholar
  19. 19.
    Kramer, J., Noronha, S. and Vergo, J., A User-Centred Design Approach to Personalization, Communications of the ACM. 43.8 (2000) 44–48 (2000)CrossRefGoogle Scholar
  20. 20.
    Kunz T. and J. Black. “An Architecture for Adaptive Mobile Applications”, In Proceedings of the 11th International Conference on Wireless Communications (Wireless’99) (1999)Google Scholar
  21. 21.
    Lei, Y., Motta, E. and Domingue, J., (2002). IIPS: an intelligent information presentation system, Proceedings of the 7th international conference on Intelligent user interfaces (2002)Google Scholar
  22. 22.
    Torre, I., Goals, Tasks and Application Domains as the Guidelines for Defining a Framework for User Modelling. User Modeling 2001, 260–264 (2001)23. Rich, E., User Modelling via Stereotypes. Cognitive Science, 3: 329–354 (1979)Google Scholar
  23. 23.
    Nicholas J. Belkin, W. Bruce C., Information Filtering and Information Retrieval: Two Sides of the Same Coin? Communications of the ACM (CACM), Volume 35, Number 12 (1992)Google Scholar
  24. 24.
    Bental D., Cawsey A.J., Jones R.B., Patient Information Systems that Tailor to the Individual, Journal of Patient Education and Counselling, 36, 171–180 (1999)CrossRefGoogle Scholar
  25. 25.
    Ceri S., Fraternali P., Paraboschi S., Data-driven One-to-one Web Site, Generation for Data-Intensive Applications, Proc. 25th VLDB, 615–626 (1999)Google Scholar
  26. 26.
    Kay, M., XSLT 2nd Edition-Programmer’s Reference, Wrox Press Ltd, Birmingham, UK, (2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Euan Dempster
    • 1
  • Daniel Pacey
    • 1
  • M. Howard Williams
    • 1
  • Alison Cawsey
    • 1
  • David Marwick
    • 1
  • Lachlan MacKinnon
    • 1
  1. 1.School of Mathematical and Computer SciencesHeriot-Watt UniversityRiccarton, EdinburghUK

Personalised recommendations