The Design Of Smart Tourism System

With the rapid development of China’s economy, tourism gets the prosperous development. Travel applications are gradually becoming an important part of contemporary people to travel. But face with the mass information, it is difficult to search the useful information. The most Service is still in the original model, and failed to provide the customize service.This thesis, under the premise of analyzing the background and the current situation of smart tourism, defines the conception of it. It discusses the related technologies used, include the cloud computing, recommendation system, LBS, vertical search and smart application. The research focused on context collaborative filtering algorithm to find the customer’s interesting and preference. Provide the personalization information to customer as his preference. Base on the recommendation result, customer’s comments and adjustment, involve LBS and smart application to design the automatic customize trip planning route base on the analysis of electronic map. Finally, this these discuss how to create system framework based on the cloud computing platform. Design the cloud database. Push information to the terminal device and call module to extend function through API interface. Provide the smart service and new experience to customer.This thesis intensive studies the smart tourism system. Establish a smart tourism prototype system, still in the process of extend module and testing. It has a certain reference value on development of smart tourism system.