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Case-based User Profiling in a Personal Travel Assistant

  • Pawel Waszkiewicz
  • Padraig Cunningham
  • Ciara Byrne
Part of the CISM International Centre for Mechanical Sciences book series (CISM, volume 407)

Abstract

This paper presents an architecture for a Personal Travel Assistant (PTA) which can elaborate on a users travel request and evaluate travel offers. Information on user behaviour is stored in a case base in the form of a Case Retrieval Net. This lazy approach has the advantages that it is incremental, extendible and allows flexible reuse of the information.

Keywords

User Profile Information Entity Relevance Link Lazy Learning Travel Preference 
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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References

  1. Aha, D. W. (1997). Editorial on lazy learning. Artificial Intelligence Review 11:7–10.CrossRefGoogle Scholar
  2. ACTS Project AC317. (1998). FIPA Agent Communication Technology and Services: Project Summary.Google Scholar
  3. Foundation for Intelligent Physical Agents. (1997). Draft Specification, Part 4, Personal Travel Assistance.Google Scholar
  4. Lenz, M., Auriol, E., and Manago, M. (1998). Diagnosis and decision support. In M. Bartsch-Sporl, H. D. B., and Wess, S., eds., Case-Based Reasoning Technology: From Foundations to Applications, volume 1400 of Lecture Notes in Computer Science. Springer-Verlag.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 1999

Authors and Affiliations

  • Pawel Waszkiewicz
    • 1
  • Padraig Cunningham
    • 1
  • Ciara Byrne
    • 2
  1. 1.Department of Computer ScienceTrinity CollegeDublinIreland
  2. 2.Broadcom Research Ireland Ltd.DublinIreland

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