Article ID: | iaor20052229 |
Country: | South Korea |
Volume: | 21 |
Issue: | 3 |
Start Page Number: | 39 |
End Page Number: | 54 |
Publication Date: | Nov 2004 |
Journal: | Korean Management Science Review |
Authors: | Park Sung Joo, Yim Hong Soon, Ahn Hyung jun, Kim Jong Woo |
Keywords: | programming: multiple criteria |
The 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 system was constructed and a simulation experiment was performed for evaluation and comparison with different travel planning strategies.