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Personal Tour: A Multi-Agent Recommender System of Travel Packages
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Author(s): Fabiana Lorenzi (Invenio Software Inteligente & Universidade Luterana do Brasil, Brazil), Stanley Loh (Invenio Software Inteligente & Universidade Luterana do Brasil, Brazil)and Mara Abel (Universidade Federal do Rio Grande do Sul, Brazil)
Copyright: 2012
Pages: 12
Source title:
Global Hospitality and Tourism Management Technologies
Source Author(s)/Editor(s): Patricia Ordóñez de Pablos (Universidad de Oviedo, Spain), Robert D. Tennyson (University of Minnesota, USA)and Jingyuan Zhao (University of Québec at Montréal, Canada)
DOI: 10.4018/978-1-61350-041-5.ch012
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Abstract
This chapter describes the Personal Tour: a multi-agent recommender system designed to help users to find best travel packages according to their preferences. Personal Tour is based on the collaboration of multiple agents exchanging information stored in their local knowledge bases. Based on the paradigm of the Distributed Artificial Intelligence, a user recommendation request is divided into partial recommendations handled by different agents, each one maintaining incomplete information that may be useful to compose a recommendation.
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