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Machine Learning for Tourism

In: Tourism Analytics Before and After COVID-19

Author

Listed:
  • Chang Chai

    (Nanyang Technological University)

  • Yanbo Chen

    (Nanyang Technological University)

  • Taiying Kuang

    (Nanyang Technological University)

  • Chun-Yu Lai

    (Nanyang Technological University)

  • Jingyi Li

    (Nanyang Technological University)

  • Jian Zhang

    (Nanyang Technological University)

Abstract

The impact of Covid-19 has seen countries closing their borders in an attempt to contain the spread of the virus. Meanwhile, for tourism-related businesses such as hotel industry and luxury goods industry have been badly affected. This work attempts to study what impact has Covid-19 made on tourism and to discuss some potential approaches to tackle the problem, we conducted an all-rounded analysis on such topic. This work touches on three aspects: visualization-based analysis, time-series analysis, and machine learning analysis. We focus on inbound visitor numbers, hotel booking and visitor expenditure prediction.

Suggested Citation

  • Chang Chai & Yanbo Chen & Taiying Kuang & Chun-Yu Lai & Jingyi Li & Jian Zhang, 2023. "Machine Learning for Tourism," Springer Books, in: Yok Yen Nguwi (ed.), Tourism Analytics Before and After COVID-19, pages 157-181, Springer.
    • Handle: RePEc:spr:sprchp:978-981-19-9369-5_10
    DOI: 10.1007/978-981-19-9369-5_10
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