An Effective Method of Tourist Identification and Scenic Spot Recommendation Based on Mobile Location Information

Abstract

With the rapid development of information technology, more and more people use mobile phones to communicate with each other. With the existing data, the location of mobile phone users could be realized, making the users’ trip trajectory available for the study and analysis of users’ trip process. In this study, the mobile phone location data provided by a branch of China mobile have been applied to realize the screening algorithm of tourist population. In addition, the improved Apriori algorithm has also been used to recommend the scenic spots to users. The algorithm introduces the concept of longest common subsequence which greatly reduces the I/O load, leading to the great growth in the speed of discovering frequent item sets. So this study is of certain value in both theory and practice.