Traveller: A novel tourism platform for students based on cloud data

Abstract

Tourism is one of the top choices of contemporary university students for leisure on vacation. Desires that students want to travel extensively become increasingly stronger. However, few correct analysis on the tourism market of students in e-commerce results in its immature development, causing a difficulty in making a personalized travel plan to them. Concerning such a situation, it makes sense to provide students with more high-quality plans based on personalized analysis on their tourism preferences. Thus, it is necessary to design a safe, reliable, stable platform for students’ travel, named Traveller. Cloud computing service is mainly designed for PC machines at present, but it is a trend of future development to combine the cloud computing and mobile application. From the viewpoint of technique, powerful computing capacity and storage capacity are sufficient to improve the user experience. From the viewpoint of mobile user, a sharp increase of users in recent years has become a driving force to push the advancement of mobile application. As a consequence, mobile computing will soon prove its prevalence. In this paper, tourist information will be collected by communicating through a mobile terminal to send requests to the server in the cloud, making full use of cloud server’s features such as efficiency and convenience to update.