DocumentCode :
3659810
Title :
Predicting the next move: Determining mobile user location using semantic information
Author :
Nitin Bhyri;Gautham V Kidiyoor; Varun S K;Subramaniam Kalambur;Dinkar Sitaram;Chid Kollengode
Author_Institution :
Center of Cloud Computing and Big Data, PES Institute of technology, Bangalore, India
fYear :
2015
Firstpage :
2359
Lastpage :
2365
Abstract :
The location of a mobile user is used to deliver context sensitive information like advertisements and deals. Predicting the future possible locations of a mobile user can help target specific services. Nokia provided researchers with data collected from around 200 mobile users over a period of about 2 years for the purpose of research. Previous efforts have attempted either to predict the location of the user or the semantics associated with a location. In our work, we demonstrate that using a multi-level approach by predicting the semantics of a location and then the specific location within helps improve the accuracy of the prediction. We have shown that for certain semantic locations, the prediction accuracy can be as high as 90%.
Keywords :
"Semantics","Accuracy","Predictive models","Feature extraction","Mobile communication","Data models","Global Positioning System"
Publisher :
ieee
Conference_Titel :
Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on
Print_ISBN :
978-1-4799-8790-0
Type :
conf
DOI :
10.1109/ICACCI.2015.7275971
Filename :
7275971
Link To Document :
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