Research and Implementation of Intelligent Tourism Guide System Based on Cloud Computing Platform

Abstract

The rapid development of tourism industry will be accompanied by a large number of tourism data and information, and the development of tourism information system in different regions is unbalanced, and tourism information is basically not shared, so it is inevitable to adopt cloud computing technology to support the tourism system. This paper collects and analyzes the cases of cloud computing technology used in tourism industry at home and abroad, combined with its advantages and disadvantages, uses the idea of SOA to model services and data, and then puts forward the architecture of tourism cloud services. According to the characteristics of tourism business, the system construction of tourism cloud platform is divided into three parts: Tourism private cloud, tourism exclusive cloud and tourism public cloud. And the tourism private cloud platform for specific planning and design. In view of the rapid growth of tourism data, this paper also proposes a recommendation algorithm based on the information of tourists and scenic spots, which combines the collaborative filtering algorithm based on users and the information recommendation algorithm based on geographical location, so as to push more accurate information to tourists. Finally, due to the increasing number of free travelers, this paper develops an intelligent navigation system based on Android Application on the basis of cloud platform. The system mainly includes three service modules: scenic spot information service, tourists can query the basic information of scenic spots, tour group information, etc.; tour guide service, tourists can query the route, GPS Location, nearby search, weather forecast, etc.; tour strategy service, tourists can query the strategy of scenic spots, upload and release the strategy, and view and download offline maps. Through demand analysis and design, the Intelligent Tourism guidance system based on cloud computing platform is realized, which not only reduces the pressure of processing a large number of data and the state of insufficient information sharing, but also meets the needs of free travelers.