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A Travel Decision Support Algorithm: Landmark Activity Extraction from Japanese Travel Comments

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Computer and Information Science (ICIS 2019)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 849))

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Abstract

To help people smoothly and efficiently make travel decisions, we utilize the advantages of travel comments posted by thousands of other travelers.  In this paper, we analyze the feasibility of exploring landmark activity queries and representative examples from Japanese travel comments.  Contributions in this paper include a framework for extracting activity concerned keywords and queries, quantifying the relationship between landmark activities and comment contents.  An evaluation of activity-example extraction is conducted in two case studies through 18,939 travel comments.

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Notes

  1. 1.

    The date is users’ visiting date, not the written date.

  2. 2.

    https://www.jalan.net/kankou/spt_13204cc3302011245/.

  3. 3.

    https://www.jalan.net/kankou/spt_13106cc3310040182/.

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Acknowledgements

This paper was supported in part by Grant-in-Aid for Scientific Research (No. 19H04080).

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Authors and Affiliations

  1. Department of Computer Science and Communications Engineering, Waseda University, Tokyo, Japan

    Siya Bao, Masao Yanagisawa & Nozomu Togawa

Authors
  1. Siya Bao
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  2. Masao Yanagisawa
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  3. Nozomu Togawa
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Corresponding author

Correspondence to Siya Bao .

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Editors and Affiliations

  1. Software Engineering and Information Technology Institute, Central Michigan University, Mount Pleasant, MI, USA

    Roger Lee

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Bao, S., Yanagisawa, M., Togawa, N. (2020). A Travel Decision Support Algorithm: Landmark Activity Extraction from Japanese Travel Comments. In: Lee, R. (eds) Computer and Information Science. ICIS 2019. Studies in Computational Intelligence, vol 849. Springer, Cham. https://doi.org/10.1007/978-3-030-25213-7_8

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