Tourism demand forecasting: A deep learning approach

Annals of Tourism Research, pp. 410-423, 2019.

Cited by: 33|Bibtex|Views2|

Abstract:

Abstract Traditional tourism demand forecasting models may face challenges when massive amounts of search intensity indices are adopted as tourism demand indicators. Using a deep learning approach, this research studied the framework in forecasting monthly Macau tourist arrival volumes. The empirical results demonstrated that the deep l...More

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