Advertising in a pervasive computing environment
WMC '02 Proceedings of the 2nd international workshop on Mobile commerce
Machine Learning for User Modeling
User Modeling and User-Adapted Interaction
The Geometry of Uncertainty in Moving Objects Databases
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Moving Objects Databases: Issues and Solutions
SSDBM '98 Proceedings of the 10th International Conference on Scientific and Statistical Database Management
Enabling Location-Aware Pervasive Computing Applications for the Edlerly
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Uncertainty Reduction in Location-Based Retrieval of Georeferenced Web Resources by Moving Users
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
A unified context model: bringing probabilistic models to context ontology
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
| Hi-index | 0.01 |
Applications based on location tracking have been growing in number and sophistication over the past few years. These applications include those that can track elderly people, provide targeted advertising to mobile users, and track moving objects. Here, the authors discuss human-controlled moving objects under the general category of "roving users." A typical use of a roving use--RU for short--location tracking system is to track the location of each RU to answer queries about the person's whereabouts at any particular time. Regardless of the time frame, any research project seeking to address the RU issue must deal with the uncertainty that can be caused by the fact that it's difficult to predict each RUýs location at any given time.