San Francisco / Southampton / Lima / New York / Zurich / Lausanne / M. Musolesi / /
Company
N. Christakis / Cambridge University Press / Nokia / D. Lazer A. S. / E. Cho S. A. / Location-Based Social Networks / Sun / Monte Carlo / A. Barabasi / /
Country
Switzerland / Jordan / United States / United Kingdom / /
Currency
USD / / /
Event
Environmental Issue / /
Facility
Hong Kong University of Science / University of Southampton / /
IndustryTerm
nearby buildings obscure satellite communication / recommender systems / location prediction systems / mobile computing research / pervasive systems / location prediction services / commodity mobile devices / energy efficiency / social networks / satellite reachability / tractable closed-form solution / prediction algorithm / pre-processing / learning algorithms / captured using commodity mobile devices / /
Organization
Cambridge University / American Statistical Association / Hong Kong University of Science and Technology / Hong Kong / University of Southampton / /
Person
C. Mascolo / V / M. Van Alstyne / G. King / J. Fowler / Mixture Model / M. Gutmann / Bob / M. Macy / Alice / T. Jebara / D. Roy / /
Position
D. J. / N. Contractor / General / Author / King / /
Product
Bayes / /
ProvinceOrState
New York / /
Technology
separate prediction algorithm / GPS / mobile phones / Machine Learning / mobile devices / cellular telephone / mobile computing / animation / /
Modelling Heterogeneous Location Habits in Human Populations for Location Prediction Under Data Sparsity James McInerney1 , Jiangchuan Zheng2 , Alex Rogers1 , Nicholas R. Jennings1 1 University of Southampton, Southampt