Cloud-Based Real-Time Tourism Demand Forecasting System with Deep Learning

Abstract

Tourism industry plays an important role in global and regional economic growth. The precise and effective tourism demand forecast will serve as a crucial decision-making support for developing a sustainable and smart tourism ecosystem. Embracing the opportunities brought by the availability of high frequency internet big data and the development of deep learning-based forecasting models, this study proposes a cloud-based tourism demand forecasting system to provide real-time tourism demand forecasts and to promote industry collaboration.