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Intelligent Agent-based Travel Planning Recommendation System in Peak Seasons  

Yim Hong Soon (핸디소프트)
Ahn Hyung Jun (한국과학기술원 테크노경영대학원)
Kim Jong Woo (한양대학교 경영대학원 경영학부)
Park Sung Joo (한국과학기술원 테크노경영대학원)
Publication Information
Korean Management Science Review / v.21, no.3, 2004 , pp. 39-54 More about this Journal
Abstract
This paper presents a multi-agent system for intelligent recommendation of travel plans to users. The goal of the system is to provide alternative and preferable travel plans to users when the availability of tickets is low such as in vacations, holidays, weekends, or peak seasons. The multiple agents in the system search for available alternatives for a target travel in collaboration with other agents and recommend best alternatives by analyzing them using a multi-criteria decision-making model. A prototype online travel support system was constructed and a simulation experiment was performed for evaluation and comparison with different travel planning strategies.
Keywords
Multi-Agent System; Multi-Criteria Decision-Making(MCDM); Travel Planning;
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