Multiagent Truth Maintenance Applied to a Tourism Recommender System

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Author(s): Fabiana Lorenzi (Universidade Federal do Rio Grande do Sul (UFRGS), Brasil Universidade Luterana do Brasil, Brazil), Ana L.C. Bazzan (Universidade Federal do Rio Grande do Sul (UFRGS), Brasil)and Mara Abel (Universidade Federal do Rio Grande do Sul (UFRGS), Brazil)
Copyright: 2010
Pages: 19
Source title: Tourism Informatics: Visual Travel Recommender Systems, Social Communities, and User Interface Design
Source Author(s)/Editor(s): Nalin Sharda (Victoria University, Australia )
DOI: 10.4018/978-1-60566-818-5.ch004

Keywords: Business & Management / Business Science Reference / Hospitality, Travel & Tourism Management / Hospitality, Travel, and Tourism Management

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Abstract

This chapter presents a multiagent recommender system applied to the tourism domain. The multiagent approach is able to deal with distributed expert knowledge to support travel agents in recommending tourism packages. Agents work as experts cooperating and communicating with each other, exchanging information to make the best recommendation possible considering the travelers’ preferences. Each agent has a truth maintenance system component that helps the agents to assume information during the recommendation process as well as to keep the integrity of their knowledge bases. The authors have validated the system via simulations where agents collaborate to recommend travel packages to the user and specialize in some of the tasks available. The experiments show that specialization is useful for the efficacy of the system.

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