A framework of route recommendation system for sightseeing from subjective and objective evaluation of tourism data

Takashi Hasuike, Hideki Katagiri, Hiroshi Tsuda

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

    2 Citations (Scopus)

    Abstract

    This paper proposes a framework to recommend personal sightseeing route as well as to objectively obtain the tourist's utility to sightseeing plans and sightseeing spots from subjective comparison. The subjective comparison is qualitatively performed using a scale of measurement such as Likert scale, and the mathematical programming problem including this comparison as constraints is introduced. In the case of route planning, traveling and sightseeing times are randomly changed dependent on current traffic and congestion conditions, and hence, Time-Expanded Network (TEN) to represent these traffic conditions in the underlying static network with each discrete time step is introduced. In addition, the network optimization problem is introduced to obtain the personal appropriate sightseeing route. This problem is formulated as a nonlinear and discrete optimization problem, and it is hard to solve it directly and efficiently. Therefore, an efficient algorithm is also developed based on dynamic programming and transformation of the main problem into the recursive equation.

    Original languageEnglish
    Title of host publicationProceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages801-806
    Number of pages6
    ISBN (Electronic)9781467389853
    DOIs
    Publication statusPublished - 2016 Aug 31
    Event5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 - Kumamoto, Japan
    Duration: 2016 Jul 102016 Jul 14

    Other

    Other5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
    CountryJapan
    CityKumamoto
    Period16/7/1016/7/14

    Keywords

    • Mathematical programming
    • Sightseeing route recommendation
    • Time-Expanded Network
    • Utility function

    ASJC Scopus subject areas

    • Information Systems
    • Computer Networks and Communications
    • Computer Science Applications
    • Computer Vision and Pattern Recognition

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  • Cite this

    Hasuike, T., Katagiri, H., & Tsuda, H. (2016). A framework of route recommendation system for sightseeing from subjective and objective evaluation of tourism data. In Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 (pp. 801-806). [7557721] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIAI-AAI.2016.34