Machine learning-based cloud IOT platform for intelligent tourism information services

Abstract Thanks to the continuous development of tourism industry, application Internet things (IoT) begins boom among modern tourists. Smart utilizes facilitate information dissemination and exchange, making IoT technology an indispensable part next-generation travelling tool kits. In this paper, based on visitor selection behavior, we develop a hybrid intelligent categorization approach. Particularly, our proposed method could help tourists decide whether or not visit sightseeing attraction in minutes. Cross-validation testing performance assessment show that designed platform can work effectively efficiently by considering variety factors.