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Denoising search query improves tourism forecasting

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  • Cao, Wanyi
  • Hu, Mingming
  • Wei, Siyao
  • Yang, Limei

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  • Cao, Wanyi & Hu, Mingming & Wei, Siyao & Yang, Limei, 2025. "Denoising search query improves tourism forecasting," Annals of Tourism Research, Elsevier, vol. 115(C).
    • Handle: RePEc:eee:anture:v:115:y:2025:i:c:s0160738325001550
    DOI: 10.1016/j.annals.2025.104049
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    References listed on IDEAS

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    1. Guangyuan Xing & Er-long Zhao & Chengyuan Zhang & Jing Wu & Giancarlo Consolo, 2021. "A Decomposition-Ensemble Approach with Denoising Strategy for PM2.5 Concentration Forecasting," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-13, April.
    2. Hyndman, Rob J. & Khandakar, Yeasmin, 2008. "Automatic Time Series Forecasting: The forecast Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i03).
    3. Long Wen & Chang Liu & Haiyan Song, 2019. "Forecasting tourism demand using search query data: A hybrid modelling approach," Tourism Economics, , vol. 25(3), pages 309-329, May.
    4. Li, Hengyun & Hu, Mingming & Li, Gang, 2020. "Forecasting tourism demand with multisource big data," Annals of Tourism Research, Elsevier, vol. 83(C).
    5. Hassani, Hossein & Silva, Emmanuel Sirimal & Antonakakis, Nikolaos & Filis, George & Gupta, Rangan, 2017. "Forecasting accuracy evaluation of tourist arrivals," Annals of Tourism Research, Elsevier, vol. 63(C), pages 112-127.
    6. Bi, Jian-Wu & Liu, Yang & Li, Hui, 2020. "Daily tourism volume forecasting for tourist attractions," Annals of Tourism Research, Elsevier, vol. 83(C).
    7. Li, Xin & Pan, Bing & Law, Rob & Huang, Xiankai, 2017. "Forecasting tourism demand with composite search index," Tourism Management, Elsevier, vol. 59(C), pages 57-66.
    8. Jammazi, Rania & Lahiani, Amine & Nguyen, Duc Khuong, 2015. "A wavelet-based nonlinear ARDL model for assessing the exchange rate pass-through to crude oil prices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 173-187.
    9. Park, Eunhye & Park, Jinah & Hu, Mingming, 2021. "Tourism demand forecasting with online news data mining," Annals of Tourism Research, Elsevier, vol. 90(C).
    10. Yang, Xin & Pan, Bing & Evans, James A. & Lv, Benfu, 2015. "Forecasting Chinese tourist volume with search engine data," Tourism Management, Elsevier, vol. 46(C), pages 386-397.
    Full references (including those not matched with items on IDEAS)

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