Title :
PersonalTour: A Recommender System for Travel Packages
Author :
Lorenzi, Fabiana ; Loh, Stanley ; Abel, Mara
Author_Institution :
Invenio Software Inteligente, Canoas, Brazil
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;
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
DOI :
10.1109/WI-IAT.2011.69
