skip to main content
10.1145/3384419.3430460acmconferencesArticle/Chapter ViewAbstractPublication PagessensysConference Proceedingsconference-collections
short-paper

User decision support system for on-site tourism navigation on smartphone: demo abstract

Published:16 November 2020Publication History

ABSTRACT

In recent years, there has been a growing interest in travel applications that provide on-site personalized tourist spot recommendations. While they are generally useful, most of the available apps are focused on helping tourists make decisions only on the next spot to visit. This may cause that the tourists miss attractive spots to visit in the future. Due to the lack of awareness on the spots to go afterwards, they are unable to visit the spots they wanted to visit later, hence their overall tourism satisfaction decreases. In this study, we introduce an on-site tourism recommendation system, ISO-Tour, which can be used on the spot during the tour and allows users to consider multiple spots to visit next taking into account the trade-off between satisfaction of the next spot and that of the subsequent spots visited in the future.

References

  1. S. Isoda, M. Hidaka, Y. Matsuda, H. Suwa, and K. Yasumoto. 2020. Timeliness-aware On-site Planning Method for Tour Navigation. arXiv:2009.11040 [cs.DS]Google ScholarGoogle Scholar
  2. Yohei Kurata, Yasutaka Shinagawa, and Tatsunori Hara. 2015. CT-Planner5: a computer-aided tour planning service which profits both tourists and destinations. 15 (2015), 35--42.Google ScholarGoogle Scholar
  3. Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, and Shanika Karunasekera. 2018. Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency. Knowledge and Information Systems 54, 2 (2018), 375--406.Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Google LLC. 2020. Goonle Map. Retrieved Sept 7, 2020 from https://www.google.com/mapsGoogle ScholarGoogle Scholar
  5. Pieter Vansteenwegen, Wouter Souffriau, Greet Vanden Berghe, and Dirk Van Oudheusden. 2011. The city trip planner: an expert system for tourists. Expert Systems with Applications 38, 6 (2011), 6540--6546.Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Quan Yuan, Gao Cong, Zongyang Ma, Aixin Sun, and Nadia Magnenat Thalmann. 2013. Time-aware point-of-interest recommendation. In Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval. 363--372.Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. User decision support system for on-site tourism navigation on smartphone: demo abstract

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems
      November 2020
      852 pages
      ISBN:9781450375900
      DOI:10.1145/3384419

      Copyright © 2020 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 16 November 2020

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • short-paper

      Acceptance Rates

      Overall Acceptance Rate174of867submissions,20%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader