Denoising Search Query Improves Tourism Forecasting ​

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Authors: Wanyi Cao, Mingming Hu
Year: 2025
Journal: Annals of Tourism Research
DOI: 10.1016/j.annals.2025.103892

Keywords: tourism forecasting, search query, denoising, demand prediction, big data

Abstract ​

Proposes a denoising approach for search query data to improve tourism demand forecasting accuracy, demonstrating that noise-filtered search data significantly outperforms raw search data in predicting tourist arrivals.

Cite this paper ​

@misc{denoisingsearchquerytourismforecasting2025,
  title  = {Denoising Search Query Improves Tourism Forecasting},
  author = {Wanyi Cao, Mingming Hu},
  year   = {2025},
  journal = {Annals of Tourism Research},
  doi    = {10.1016/j.annals.2025.103892},
  url    = {https://doi.org/10.1016/j.annals.2025.103892},
}

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