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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Aha, D. W. (1997). Editorial on lazy learning. Artificial Intelligence Review 11:7–10.
ACTS Project AC317. (1998). FIPA Agent Communication Technology and Services: Project Summary.
Foundation for Intelligent Physical Agents. (1997). Draft Specification, Part 4, Personal Travel Assistance.
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.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer Science+Business Media New York
About this paper
Cite this paper
Waszkiewicz, P., Cunningham, P., Byrne, C. (1999). Case-based User Profiling in a Personal Travel Assistant. In: Kay, J. (eds) UM99 User Modeling. CISM International Centre for Mechanical Sciences, vol 407. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2490-1_37
Download citation
DOI: https://doi.org/10.1007/978-3-7091-2490-1_37
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-83151-9
Online ISBN: 978-3-7091-2490-1
eBook Packages: Springer Book Archive