Predict Next User Location to Improve Accuracy of Mobile Advertising

The main feature in the location based on advertising is sending the latest ads from POIs nearest the user. To accomplish the task, the device should transmit the current location at interval time to LBA server, LBA server will provide the latest ads nearest location received from the user. With short interval this procedure will run out the power of a device quickly and high internet bandwidth. To solve this long interval can be used. But another problem arises with fast moving users. User received POIs at a location that has been leaved. We proposed predict next user's location for long interval push strategy. The results of our experiments show received POIs more accurate and with long interval will help reduce waste of energy and internet bandwidth in mobile advertising.