Research And Application Of Mobile User Data Characteristics Based On Digital Map

With advances in computer and communications technology,variety of mobile devices which are more perfect appear,mobile data acquisition can be effectively saved and sent to the server anytime and anywhere.Mobile data are quite huge no matter the quantity or types over time.It is a grave challenge for researchers mining the value of mobile data,extractingmobile user data characteristics,providing personalized services to mobile users.This topic relies on the network server and smart mobile devicesinstalled sliding screen App.When mobile users use smart devices,mobile data is continuously transmitted and saved on the server in the background.This paper analyses mobile users’ data,according to thesparse extent of location information for mobile users,the issue extractes mobile data sparse characteristic and intensive characteristic,establishes the sparse characteristic model andintensive characteristic model.The characteristic models are implemented on server to recommend personalized information to the client.The display of mobile users’ data characteristics is implemented on client so that mobile user can see individual data characteristics.First of all,the paper converts location information to get and classify the sematic information with the BaiDu map API.When the user first enters the system,the location data is sparse.In order to analyze the mobile users visiting preferences of points of interest,the issue extracts sparse characteristic-age,gender,and the similarityof the category characteristic.According to the mobile data sparse characteristic,mobile data sparse characteristic model is designed to recommend personalized points of interest to mobile users.Secondly,with the change of time or place,the quantity and categories of data become more and more dense.Based on the current characteristics of mobile data,the intensive characteristicof mobile dataare extracted consisting of location,time and category characteristics.With mobile dataintensive characteristics,the issue designs mobile dataintensive characteristics model,providing personalized points of interest to mobile users.Finally,in order to verify the validity of different models,the paper analyses results from different characteristics models,and with the Android BaiDu map API;developes a display module of Android client-side about mobile user data characteristics.This module consists of the trajectory tracking of mobile users,mobile user points of interest display,user activity area distribution.The individual trajectory tracking includes real-time trajectory tracking and viewing historical trajectory.The points of interest display is based on the sparse characteristicsmodel and intensive characteristicsmodel of mobile data,personalized points of interest are recommendedto displayed on the client.The mobile user individualactivity area distribution is to user display activity areas.