Location prediction based on Smartphone Multimodal Personal Data for Proactive Support Services

Location prediction is essential to facilitate proactive support services. However, predicting a location that the user has not visited previously based on location history is difficult to predict the location where the user has never visit. Smartphones handle a significant amount of important personal data such as location, schedule, and email data. This paper proposes a location prediction method based on personal data acquired from smartphones. Experimental results based on personal data acquired over one year demonstrate that the system can predict user location precisely.