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Utilising Crowd Information of Tourist Spots in an Interactive Tour Recommender System

  • Takashi AoikeEmail author
  • Bach Ho
  • Tatsunori Hara
  • Jun Ota
  • Yohei Kurata
Conference paper

Abstract

Although the congestion of tourist spots has a huge effect on tourist experiences, few studies have discussed crowd information in the research field of recommender systems for tour planning. This study developed a recommender system that utilises crowd information interactively to support tour planning. The study created a bar graph about relative crowdedness in a day based on the idea that the measures required for a crowd vary depending on each tourist. This research conducted user experiments to examine how tourists are conscious of crowds. The proposed system can provide alternative plans in 70% of cases when tourists wish to visit a spot when it is not crowded. Furthermore, the results imply the importance of focusing on differences in tourists with regard to a sightseeing spot. The sightseeing experiences of tourists may be enhanced by conducting expectation management for sightseeing using ICT.

Keywords

Recommender system Service design Crowding data FIT 

Notes

Acknowledgements

The authors are grateful to Fujitsu Laboratories Ltd. for assistance with the experiment.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Takashi Aoike
    • 1
    Email author
  • Bach Ho
    • 1
  • Tatsunori Hara
    • 1
  • Jun Ota
    • 1
  • Yohei Kurata
    • 2
  1. 1.Research into Artifacts, Center for Engineering (RACE), The University of TokyoTokyoJapan
  2. 2.Department of Tourism Science, Graduate School of Urban Environmental SciencesTokyo Metropolitan UniversityTokyoJapan

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