Abstract
Travel planning systems are among the most popular recommendation systems, due to the assistance they provide in planning trips of interest to users, particularly in locations with which users are unfamiliar. A comprehensive view of existing travel planning systems has revealed that most relevant studies on this topic have focused on the development of internal recommendation algorithms, rather than on the design of the system. As a result, many travel planning systems are ill-suited to the specific needs of individual users. In this study, we developed a travel planning system that includes systems for the recommendation of attractions, the browsing of candidate itineraries, and the automated editing of the resulting guide book. This system greatly enhances the usefulness of travel planning systems and increases the likelihood that such systems will eventually be commercialized.
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