Multi-Agent Tourism System (MATS)

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Author(s): Soe Yu Maw (University of Computer Studies, Yangdon, Myanmar)and Myo-Myo Naing (University of Computer Studies, Yangdon, Myanmar)
Copyright: 2008
Pages: 22
Source title: Social Information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively
Source Author(s)/Editor(s): Dion Goh (Nanyang Technological University, Singapore)and Schubert Foo (Nanyang Technological University, Singapore)
DOI: 10.4018/978-1-59904-543-6.ch015

Keywords: Information Science Reference / Media & Communications / Social Computing / Social Networking

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Abstract

This chapter proposes the architecture of the Multi-Agent Tourism System (MATS). Tourism information on the World Wide Web is dynamic and constantly changing. It is not easy to obtain relevant and updated information for individual user’s needs. A multi-agent system is defined as a collection of agents that work in conjunction with each other. The objective of MATS is to provide the most relevant and updated information according to the user’s interests. It consists of multiple agents with three main tiers such as the Interface Module, Information Management Module, and Domain Related Module. We propose the Rule-based Personalization with Collaborative Filtering Technique for effective personalization in MATS which can address the limitations of pure Collaborative Filtering such as the scalability, sparsity and cold-start problems.

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