Results 211 to 220 of about 405,909 (257)

Enhancing location services with prediction

Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly, 2009
Position-based routing is often proposed as a means to achieve scalability in large mobile ad hoc networks. However, such routing protocols are heavily dependent on the existence of scalable location management services. In recent years, many location service protocols have been proposed for ad hoc networks such as the Grid Location Service (GLS), and ...
Ebtisam Amar, Selma Boumerdassi
openaire   +2 more sources

Location Prediction

ACM Transactions on Interactive Intelligent Systems (ACM TiiS), 2016
In social networks, predicting a user’s location mainly depends on those of his/her friends, where the key lies in how to select his/her most influential friends. In this article, we analyze the theoretically maximal accuracy of location prediction based on friends’ locations and compare it with the practical accuracy obtained by the state-
Yantao Jia   +3 more
openaire   +2 more sources

A predictive location model for location-based services

Proceedings of the 11th ACM international symposium on Advances in geographic information systems, 2003
Location-Based Services (LBSs) utilize information about users' locations through location-aware mobile devices to provide services, such as nearest features of interest, they request. This is a common strategy in LBSs and although it is needed and benefits the users, there are additional benefits when future locations (e.g., locations at later times ...
Hassan A. Karimi, Xiong Liu 0001
openaire   +1 more source

Fusing Location Data for Depression Prediction

IEEE Transactions on Big Data, 2017
Recent studies have demonstrated that geographic location features collected using smartphones can be a powerful predictor for depression. While location information can be conveniently gathered by GPS, typical datasets suffer from significant periods of missing data due to various factors (e.g., phone power dynamics, limitations of GPS).
Chaoqun Yue   +9 more
openaire   +2 more sources

Exploring Communities for Effective Location Prediction

Proceedings of the 24th International Conference on World Wide Web, 2015
Humans are social animals, they interact with different communities to conduct different activities. The literature has shown that human mobility is constrained by their social relations. In this work, we investigate the social impact on a user's mobility from his communities in order to conduct location prediction effectively.
Jun Pang 0001, Yang Zhang 0016
openaire   +2 more sources

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