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An Optimal Travel Route Recommendation System for Tourists’ First Visit to Japan

  • Chen YuanEmail author
  • Minoru Uehara
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 926)

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.

Notes

Acknowledgments

We thank Peter Fogarty, MA English 1st Class, from Edanz Group (www.edanzediting.com/ac), for editing a draft of this manuscript).

References

  1. 1.
    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
  2. 2.
    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
  3. 3.
    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 IEEEGoogle Scholar
  4. 4.
    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)Google Scholar
  5. 5.
  6. 6.
    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/Google Scholar
  7. 7.
    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 JapanGoogle Scholar
  8. 8.
    Kurata, Y.: Information design in tourism. Tokyo Metropolitan University (2013). http://www.comp.tmu.ac.jp/kurata/class/tinfo2013-8.pdf

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Graduate School of Information and Science and ArtsToyo UniversityKawagoeJapan

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