As the number of foreign travelers to Japan increases rapidly, this research aims to develop a system for finding and recommending unknown regional attractions to foreign tourists. In this paper, the authors analyzed photos taken by foreign tourists in Iwate prefecture in Japan, and classified the data by photographer details such as nationality and season of their visit. These data were then displayed on Google Maps for each classification. Analysis confirmed that there are differences in nationalities and seasons of visit present in the photo data, so it will be capable to recommend the tourism resource according to nationalities and seasons. From these results, we propose a Tourism Course Recommendation System (TCRS) for foreign tourists visiting in Iwate prefecture.
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