Research on Interpretable Tourism Demand Forecasting Based on VSN–xLSTM Model

To address the limitations of traditional tourism demand forecasting models in leveraging multi-source data and their lack of interpretability, this study proposes an integrated multi-data-driven interpretable forecasting framework incorporating historical visitor volumes, social media activities, h...

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Bibliografiske detaljer

Principais autores:	Hanpo Hou, Haiying Wang
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2026-01-01
Serier:	Systems
Fag:	tourism demand forecasting multi-source heterogeneous data interpretable forecasting deep learning
Online adgang:	https://www.mdpi.com/2079-8954/14/2/146
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