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

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.