LAUSR

Daily tourism volume forecasting for tourist attractions

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0 Published in 2020 at "Annals of Tourism Research"

DOI: 10.1016/j.annals.2020.102923

Abstract: Abstract A novel approach based on long short-term memory (LSTM) networks that can incorporate multivariate time series data, including historical tourism volume data, search engine data and weather data, is proposed for forecasting the daily… read more here.

Keywords: tourism; search engine; daily tourism; engine data ... See more keywords