期刊
IEEE SYSTEMS JOURNAL
卷 11, 期 2, 页码 1060-1071出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSYST.2015.2445919
关键词
Activity pattern; location prediction; trajectory
类别
资金
- National Natural Science Foundation of China [61472149]
- Huazhong University of Science and Technology [CXY13Q018]
- Ministry of Education and China Mobile Communications Corporation Research Founding [MCM20130382]
Location has played a very important role in pervasive computing systems. Beyond the current location, knowing an individual's next location in advance can also enable many novel mobile applications and services such as targeted advertising and the smooth handover between two separate networks. Although extensive studies about location prediction have been carried out, the existing predictionmethods either encounter cold start problems when an individual's trajectory data are sparse or erratically perform when an individual performs activities in a new region. In this paper, we propose a novel approach based on the activity pattern for location prediction. Instead of directly predicting an individual's next location, we first infer the individual's next activity by modeling user activity patterns, and then, we predict his/her next location on the basis of the inferred next activity. Using real-life trajectory data, we demonstrate that the proposed approach can realize the smooth upgrade of the prediction performance and perform robustly.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据