Design and implementation of an intelligent system for tourist routes recommendation based on Hadoop

In recent years, cloud computing technology has been rapidly developed and widely used. Tourist route intelligent recommendation system which applies the association rules algorithm based on MapReduce parallel programming model can realize the personalized tourism route design under the cloud platform. In the design of the route recommendation system, the secure storage and the fast access of the large amounts of data should be addressed. In this paper, tourist route intelligent recommendation system based on Hadoop uses distributed association rules calculation to solve those problems, which can improve the scalability of its recommendation service so that to get ideal effect for tourist route recommendation. It can not only theoretically provide a certain reference value in the application of big data processing and data mining; but also practically achieve the exploration for tourist route recommendation system under the cloud platform.