Personalized one-day travel with multi-nearby-landmark recommendation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Travel route recommendation can strongly influence users' satisfaction and the success of touristic businesses. This paper proposes a personalized travel recommendation algorithm with time planning. We use landmark categorization and region clustering to obtain effective elements. Then we build a travel map to generate all possible travel routes. Our proposed algorithm has higher precision in landmark recommendation and time planning than thoes in previous algorithms.

Original languageEnglish
Title of host publication2017 IEEE 7th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2017
PublisherIEEE Computer Society
Pages239-242
Number of pages4
Volume2017-September
ISBN (Electronic)9781509040148
DOIs
Publication statusPublished - 2017 Dec 14
Event7th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2017 - Berlin, Germany
Duration: 2017 Sep 32017 Sep 6

Other

Other7th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2017
CountryGermany
CityBerlin
Period17/9/317/9/6

Keywords

  • landmark
  • time planning
  • travel route recommendation
  • user preference

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Media Technology

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  • Cite this

    Bao, S., Yanagisawa, M., & Togawa, N. (2017). Personalized one-day travel with multi-nearby-landmark recommendation. In 2017 IEEE 7th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2017 (Vol. 2017-September, pp. 239-242). IEEE Computer Society. https://doi.org/10.1109/ICCE-Berlin.2017.8210637