Forecasting with Artificial Intelligence (AI) methods in tourism

What is it about?

Tourism planners rely on accurate demand forecasting. However, despite numerous advancements, crucial methodological issues remain unaddressed. This study improves the modeling accuracy. We use artificial intelligence (AI)-based tourism demand forecasting methods. Deep learning models that predict tourism demand are often highly complex and encounter overfitting, which is mainly caused by two underlying problems: (1) access to limited data volumes and (2) additional explanatory variable requirement.

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Photo by Capturing the human heart. on Unsplash

Photo by Capturing the human heart. on Unsplash

Why is it important?

This paper is important because it explains how to improve modeling accuracy in AI-based forecasting approaches.