Tourist Spot Recommendation System with Image Selection Interface

  • Motoi Okuzono
  • Masahumi Muta
  • Soh Masuko
  • Hayaki Kawata
  • Junichi Hoshino
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10507)

Abstract

Nowadays, we often plan our travels by using tourism-related information abundantly available on the web. However, it is not simple to find useful information for your travel plans from enormous amount of information. This study, therefore, proposes a system that can make recommendations to you based on your preferences without you having to search information. Extracting the preferences of the users will be done simply by having images of their preferences selected by the users from the touristic images. The performance evaluation test on the system was also conducted.

Keywords

Recommendation system User interface Decision support 

References

  1. 1.
    Rakuten, Inc., Rakuten Travel - Get the best deals on Japanese Hotels and Ryokans. http://travel.rakuten.com. Accessed 10 Dec 2016
  2. 2.
    Zhang, F.: Improving recommendation lists through neighbor diversification. In: IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009, vol. 3, pp. 222–225 (2009)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2017

Authors and Affiliations

  • Motoi Okuzono
    • 1
  • Masahumi Muta
    • 2
  • Soh Masuko
    • 2
  • Hayaki Kawata
    • 1
  • Junichi Hoshino
    • 1
  1. 1.Graduate School of Systems and Information EngineeringUniversity of TsukubaTsukuba-shiJapan
  2. 2.Rakuten, Inc., Rakuten Institute of TechnologySetagaya-kuJapan

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