A Content Based Similarity Search for Trajectory Data

In this paper, we propose a method of a content based similarity search of trajectory data sets for assisting decision of the users’ best destination. Recently, many similarity search engines of trajectory data have been proposed by many researchers. However, the algorithms of these similarity search engines only deal with the position of the trajectory data. The algorithms use only physical locations for similarity search are not effective, because most users have interest of moving. We believe that the data of users’ interest of moving are also essential to calculate similarities between trajectory data and users’ best destination. In this paper, we propose a novel method for calculating similarities of trajectory data using textual metadata. We use descriptive document of the spot the user had stayed. In our proposed method, we use average function to integrate the users’ trajectory data and use slope of the similarities. Consequently, we confirmed that the system can calculate accurate similarities for trajectory data. We also confirmed the precision of our proposed method for trajectory data.