AAAI Publications, Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence

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Social Information Improves Location Prediction in the Wild
Jai Li, Ivan Brugere, Brian Ziebart, Tanya Berger-Wolf, Margaret Crofoot, Damien Farine

Last modified: 2015-04-01

Abstract


How can knowing the location of my friends be used to more accurately predict my location? This paper explores socially-aware location prediction under a particularly challenging setting where the underlying interactions and social network are unknown and must be inferred over continuous spatiotemporal data. Our method samples inferred network topology using a linear regression model to predict future individual locations. We present an in-depth empirical study comparing different network models and network sampling regimes under a bootstrapped sampling baseline. Furthermore, our qualitative analysis demonstrates the value of social information in population mobility modeling under our application’s challenges.

Keywords


mobile computing; geo-social; location based social networks; mobility; social networks; network prediction; network inference; spatiotemporal;

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