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Abstract

Accurate forecasting of tourism demand is of utmost relevance for the success of tourism businesses. This paper presents a novel approach that extends autoregressive forecasting models by considering travellers' web search behaviour as additional input for predicting tourist arrivals. More...

Author(s)
Höpken, W.; Eberle, T.; Fuchs, M.; Lexhagen, M.
Publisher
Springer Berlin, Heidelberg, Germany
Citation
Information Technology and Tourism, 2019, 21, 1, pp 45-62