A Case-Based Personal Travel Assistant for Elaborating User Requirements and Assessing Offers

Authors:
Lorcan Coyle;Padraig Cunningham;Conor Hayes
Affiliations:
-;-;-
Venue:
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Year:
2002

Citing 9
Cited 3

Case-based user profiling in a personal travel assistant

UM '99 Proceedings of the seventh international conference on User modeling
Editorial

Artificial Intelligence Review - Special issue on lazy learning
Surfing the Digital Wave

ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
Diagnosis and Decision Support

Case-Based Reasoning Technology, From Foundations to Applications
Shaping a CBR View with XML

ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
Case-Based User Profiling for Content Personalisation

AH '00 Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
LEAP: A FIPA Platform for Handheld and Mobile Devices

ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
Similarity vs. Diversity

ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
A distributed case-based reasoning application for engineering sales support

IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1

A new restoration-based recommender system for shopping buddy smart carts

International Journal of Business Information Systems
Case-based recommendation

The adaptive web
Agent information server: a middleware for traveler information

ESAW'05 Proceedings of the 6th international conference on Engineering Societies in the Agents World

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes a case-based approach to user profiling in a Personal Travel Assistant (based on the 1998 FIPA Travel Scenario). The approach is novel in that the user profile is made up of a set of cases capturing previous interactions rather than as a single composite case. This has the advantage that the profile is always up-to-date and also allows for the borrowing of cases from similar users when coverage is poor. Profile data is retrieved from a database in an XML format and loaded into a case-retrieval net in memory. This case-retrieval net is then used to support the two key tasks of requirements elaboration and ranking offers.