특화된 웹2.0 여행사 시스템의 설계 및 구현

Abstract

This paper is an explanation of a design and an implementation of Web 2.0 online travel agency system for frequent decision-making. On the Web 2.0 travel agency system, optimized information is obtained by applying data mining technology such as association rules, decision trees, and neural networks, and this system is a unified system that consists of the block systems of hotels, ground traffic, and flights in tour packages of a travel agency system. Furthermore, it is implemented to manage the system that is not for the administrator of a travel agency system, but for users or communities that use the system need their own information. The expected effect of this system is to maximize the investment company's efficiency through a new-concept interest model created by B2C customers, and also B2B small and medium-sized travel agencies adopting the system. As a result, it is a system that stimulates dormant customer activity and prevents good customers from leaving by maximizing the merit and capacity of the existed web site for marketing. Moreover, this system is also a model for people who plan customized travel agency business, and will show a way for the domestic and international travel agency industry’s globalization.