Dynamic Monitoring Method of Rural Tourism Popularity Based on Big Data Management Technology

Abstract

Great achievements have been made in the construction of new countryside, and rural tourism is an emerging industry. Rural tourism is an industry developed during the construction of new countryside, which promotes the development of rural economy. More and more people are going to the countryside to experience the life and scenery of the countryside. For managers of rural tourism, the dynamic monitoring of rural tourism is an important part. It can monitor the participation of tourists, which also can realize the monitoring of tourist satisfaction with attractions. However, managers only rely on traditional means to dynamically monitor the development of rural tourism, which consumes a lot of human and financial resources. This research uses big data technology to realize the dynamic monitoring and management of rural tourism. According to existing studies, big data technology can dynamically monitor the heat of rural tourism, providing better tourism experience and participation for tourists. Long short-term memory (LSTM) recurrent neural network and convolutional neural network (CNN) can predict the dynamic development process of rural tourism industry well, and the dynamic values of related factors have a good linear correlation.