Research And Implementation Of Cloud Computing Platform Based On Intelligent Tourist Guide System

With the rapid development of the Internet, traffic facilities gradually improved, people have also increased the requirements of tourism. therefore, this paper presents a solution based on cloud computing platform cloud wisdom tourism, With the mobile Internet, GPS positioning, LBS “smart technology” technical measures, through the computer, mobile phone, pad and other terminal equipment, will show service to tourists.The rapid development of the tourism industry will be accompanied by a large number of tourist information data, and around the tourism information is not shared, so the use of cloud computing technology to support tourism system is an inevitable choice. Through to the domestic and foreign tourism industry using cloud computing technology as a case to collect their advantages and disadvantages, the SOA thought, service modeling and data modeling, and then put forward the tourism of cloud services architecture. According to the characteristics of the tourism business, tourism cloud platform of the system is divided into three parts: Tourism private cloud, exclusive travel cloud, tourism public cloud. And the tourism private cloud platform to carry out the detailed design plan. Also according to the amount of travel data, this paper presents a collaborative filtering recommendation algorithm based on user and travel information based on, so that visitors can get more appropriate information. Intelligent navigation system in this paper is based on the Android platform, the system includes three modules: service information service: visitors can search for attractions attractions basic information, tour information; the tour guide service: visitors can query, GPS positioning, neighborhood search, weather forecast etc.; travel Service: visitors can query the Raiders, Raiders release, Download offline map.After the system needs to clarify and design, realizes the tour based on cloud computing platform. Not only slow down the tour processing pressure of large amounts of data and information is not shared state, and satisfying the passenger demand.