Application of big data technology in smart Tourism

Abstract

With the improvement of information technology, big data thinking has penetrated into all aspects of our social life and business fields. With the development of economy, tourism has become the pillar industry of the national economy. In order to speed up the development of tourism industry, many provinces and regions in China also follow the pace of big data era and make full use of big data technology to develop smart tourism.In today's information age, big data technology has important application value and significance for the development of smart tourism. Based on this, this study aims to study the application of big data technology in smart tourism. This paper mainly uses data mining technology and Bayesian network model analysis technology to analyze the big data of travel ticket data of smart tourism as an example to study the application of big data technology in smart tourism. It is found that the Bayesian network model can be used to predict the future trend of air ticket price changes by using the data of a certain period of time in the past, and the prediction accuracy rate is more than 80%, which is more accurate than the traditional neural network model data analysis technology. In addition, big data technologies such as data mining have been widely used in smart tourism, which greatly improves the intelligent degree of tourism industry, and has important significance for the development of smart tourism.