Analysis of SNS photo data taken by foreign tourists to Japan and a proposed adaptive tourism recommendation system

As the number of foreign travelers to Japan rapidly increases, the Japanese government expects the economic growth of whole rural areas to improve via inbound tourism. However, some rural areas are difficult to access for foreign travelers because of unknown areas, language problems, and transportation inconvenience, among other factors. Thus, developing a tourism support system for foreigners' traveling in the rural areas is necessary. To investigate the most effective way to support foreign travelers, we propose a viewpoint that recommends tourism resources for foreign travelers according to differences in nationality and season. We confirm the feasibility of this system by analyzing social networking service photo data taken by foreign tourists. Finally, we propose a tourism information system considering several needs of foreign travelers.