Machine Learning Based Cloud IoT Platform for Intelligent Tourism Information Services
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Abstract
Because of the continuous development of the tourism industry, the application of the Internet of Things technology to tourism projects is very promising in the future. Smart tourism takes use of the Internet of Things to improve information exchange. Therefore, in order to meet the needs of the next generation of tourists in the future, the Internet of Things technology will become an indispensable part. As a consequence, based on visitor selection behavior, we offer a hybrid intelligent categorization approach. This method of categorization might help tourists decide whether or not to visit a tourist attraction. Cross-validation testing and performance assessment results indicate the method's effectiveness.
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