Towards a mobile and context-aware framework from crowdsourced data
Capturing users' spatio-temporal context by recognizing their interests, locations, history and activities, and thereafter providing context-aware services is a challenging task. In this paper, we propose a spatio-temporal zoning model that takes different context dimensions into account and tr...
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| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2014
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/58187/1/58187-Towards%20a%20mobile%20and%20context-aware%20framework%20from%20crowdsourced%20data-edited.pdf http://irep.iium.edu.my/58187/2/58187-Towards%20a%20mobile%20and%20context-aware%20framework%20from%20crowdsourced%20data_SCOPUS.pdf http://irep.iium.edu.my/58187/ http://ieeexplore.ieee.org/document/7020672/ |
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