Abstract
As the Tokyo Olympics approach, increasing numbers of foreigners are planning to travel to Japan. It is not easy for these tourists to make travel plans by searching for information about unfamiliar Japanese sightseeing spots on the Internet. In particular, it is difficult to search for the relevant tourism information, such as names, categories, or open ratings. In this study, we aim to facilitate recommendations of sightseeing routes with high satisfaction. Tourists’ satisfaction is judged by various restrictions, such as travelers’ multiple purposes, staying time at the tourism site, travel time, and purpose. According to the users’ requirements, the optimal sightseeing route is selected by fitness function score. Finally, we will take the recommended route for the user.
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References
Japan Tourism Agency: Ministry of Land, Infrastructure, Transport and Tourism. Revision of “Basic Plan for Promotion of Tourism Nation”, 25 April 2017. (In Japanese). http://www.mlit.go.jp/common/001182997.pdf
Tokyo Metropolitan Government, Result of Heisei 29-year Foreign Travel Agency Behavior Characteristic Survey. (In Japanese). http://www.metro.tokyo.jp/tosei/hodohappyo/press/2018/06/06/13.html
Linden, G., Smith, B., York, J.: Amazon.com recommendations item-to-item collaborative filtering, January–February 2003. Published by the IEEE Computer Society 1089-7801/03/2003 IEEE
Thorat, P.B., Goudar, R.M., Barve, S.: Survey on collaborative filtering, content-based filtering and hybrid recommendation system. Int. J. Comput. Appl. 110(4), 0975–8887 (2015)
Foursquare. https://ja.foursquare.com/
Nakajima, Y., Shinkumi, H., Ota, O.: Travel route recommendation using tweets with location information. Res. Rep. Database Syst. (DBS) 2013 158(28), 1–6 (2013). https://ci.nii.ac.jp/naid/1100096323477. https://ja.foursquare.com/
Arts, M., Murata, Y., Shibata, N., Ito, M.: Algorithm for composing satisfactory tour schedules for fickle weather. Res. Rep. Math. Model. Prob. Solving (MPS) 75(3), 1–6 (2009). Information Processing Society of Japan
Kurata, Y.: Information design in tourism. Tokyo Metropolitan University (2013). http://www.comp.tmu.ac.jp/kurata/class/tinfo2013-8.pdf
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We thank Peter Fogarty, MA English 1st Class, from Edanz Group (www.edanzediting.com/ac), for editing a draft of this manuscript).
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Yuan, C., Uehara, M. (2020). An Optimal Travel Route Recommendation System for Tourists’ First Visit to Japan. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2019. Advances in Intelligent Systems and Computing, vol 926. Springer, Cham. https://doi.org/10.1007/978-3-030-15032-7_73
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DOI: https://doi.org/10.1007/978-3-030-15032-7_73
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