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Design of Machine Learning Algorithm for Tourism Demand Prediction

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References

2007Tourism demand modelling and forecasting—A review of recent research1,448 cited
2005Recent Developments in Econometric Modeling and Forecasting524 cited
2019Tourism demand forecasting: A deep learning approach486 cited
2014Forecasting Chinese tourist volume with search engine data451 cited
2000Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting355 cited
2005Designing an artificial neural network for forecasting tourism time series286 cited
2006Tourism Demand Forecasting: A Time Varying Parameter Error Correction Model186 cited
2020Daily tourism volume forecasting for tourist attractions183 cited
1985An Overview of Approaches Used to Forecast Tourism Demand177 cited
2014Forecasting international city tourism demand for Paris: Accuracy of uni- and multivariate models employing monthly data165 cited
2020Improving Tourist Arrival Prediction: A Big Data and Artificial Neural Network Approach165 cited
2016A dynamic linear model to forecast hotel registrations in Puerto Rico using Google Trends data115 cited
2010A Seasonal ARIMA Model of Tourism Forecasting: The Case of Taiwan81 cited

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2023Application of Machine Learning Techniques to Predict Visitors to the Tourist Attractions of the Moche Route in Peru

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26 cited

2026Towards net-positive cruises by 2050: applying a generative AI-Delphi-authoring methodology for transformative tourism research3 cited