Graph-Guided Neural Network for Tourism Demand Forecasting
An accurate tourism demand forecasting model is crucial for tourism decision-makers. In recent years, several deep learning-based models have been developed to predict tourist arrivals via search intensity indices. However, few methods consider the lag effect in the long-term time range and the inte...
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| Principais autores: | , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
IEEE
2023-01-01
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| Serier: | IEEE Access |
| Fag: | |
| Online adgang: | https://ieeexplore.ieee.org/document/10330556/ |
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