DocumentCode
1661460
Title
PersonalTour: A Recommender System for Travel Packages
Author
Lorenzi, Fabiana ; Loh, Stanley ; Abel, Mara
Author_Institution
Invenio Software Inteligente, Canoas, Brazil
Volume
2
fYear
2011
Firstpage
333
Lastpage
336
Abstract
This paper describes the Personal Tour recommender system that helps customers to find best travel packages according to their preferences. Personal Tour is based on the paradigm of the Distributed Artificial Intelligence and a customer recommendation request is divided into partial recommendations that are handled by different agents. Experiments were run with real customers and the results are presented.
Keywords
customer services; distributed processing; multi-agent systems; recommender systems; travel industry; PersonalTour; customer recommendation request; distributed artificial intelligence; recommender system; travel package; Economics; Humans; Knowledge based systems; Ontologies; Recommender systems; Software; Travel services; multiagent recommender systems; recommender systems; tourism;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC/ACM International Conference on
Conference_Location
Lyon
Print_ISBN
978-1-4577-1373-6
Electronic_ISBN
978-0-7695-4513-4
Type
conf
DOI
10.1109/WI-IAT.2011.69
Filename
6040800
Link To Document