Context-aware services based on spatio-temporal zoning and crowdsourcing
Crowdsourcing offers great opportunities to recognise user context and prescribe relevant services for both offline and real-time activities. In this work, we present a zoning model that leverages spatio-temporal dimensions and then employs different contexts to recommend necessary customised servic...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English English English |
| Published: |
Taylor and Francis Ltd.
2018
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/64739/ http://irep.iium.edu.my/64739/2/64739_Context-aware%20services%20based_SCOPUS.pdf http://irep.iium.edu.my/64739/13/64739_Context-aware%20services%20based%20on%20spatio-temporal.pdf http://irep.iium.edu.my/64739/14/64739_Context-aware%20services%20based%20on%20spatio-temporal_WOS.pdf |
| _version_ | 1848786268551380992 |
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| author | Ahmad, Akhlaq ., Md. Abdur Rahman Wahiddin, Mohamed Ridza Rehman, Faizan Ur Khelil, Abdelmajid Lbath, Ahmed |
| author_facet | Ahmad, Akhlaq ., Md. Abdur Rahman Wahiddin, Mohamed Ridza Rehman, Faizan Ur Khelil, Abdelmajid Lbath, Ahmed |
| author_sort | Ahmad, Akhlaq |
| building | IIUM Repository |
| collection | Online Access |
| description | Crowdsourcing offers great opportunities to recognise user context and prescribe relevant services for both offline and real-time activities. In this work, we present a zoning model that leverages spatio-temporal dimensions and then employs different contexts to recommend necessary customised services. The context model takes into consideration three context sets: fully restricted, fully unrestricted and semi-restricted with respect to both spatial and temporal dimensions. As a proof of concept, we apply this zoning model in a scenario where a very large crowd get together to perform spatio-temporal activities. The user context of the heterogeneous crowd is captured using the carried smartphones, i.e. via crowdsourcing. Depending on the context sets and zone, the system can recommend a set of services to each user. The system has been deployed since 2014 to support the spatio-temporal activities of a very large crowd. We present our implementation details and the user feedback, which is very encouraging. |
| first_indexed | 2025-11-14T17:06:20Z |
| format | Article |
| id | iium-64739 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English English |
| last_indexed | 2025-11-14T17:06:20Z |
| publishDate | 2018 |
| publisher | Taylor and Francis Ltd. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-647392018-07-12T09:22:57Z http://irep.iium.edu.my/64739/ Context-aware services based on spatio-temporal zoning and crowdsourcing Ahmad, Akhlaq ., Md. Abdur Rahman Wahiddin, Mohamed Ridza Rehman, Faizan Ur Khelil, Abdelmajid Lbath, Ahmed T58.5 Information technology T58.6 Management information systems Crowdsourcing offers great opportunities to recognise user context and prescribe relevant services for both offline and real-time activities. In this work, we present a zoning model that leverages spatio-temporal dimensions and then employs different contexts to recommend necessary customised services. The context model takes into consideration three context sets: fully restricted, fully unrestricted and semi-restricted with respect to both spatial and temporal dimensions. As a proof of concept, we apply this zoning model in a scenario where a very large crowd get together to perform spatio-temporal activities. The user context of the heterogeneous crowd is captured using the carried smartphones, i.e. via crowdsourcing. Depending on the context sets and zone, the system can recommend a set of services to each user. The system has been deployed since 2014 to support the spatio-temporal activities of a very large crowd. We present our implementation details and the user feedback, which is very encouraging. Taylor and Francis Ltd. 2018-07 Article PeerReviewed application/pdf en http://irep.iium.edu.my/64739/2/64739_Context-aware%20services%20based_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/64739/13/64739_Context-aware%20services%20based%20on%20spatio-temporal.pdf application/pdf en http://irep.iium.edu.my/64739/14/64739_Context-aware%20services%20based%20on%20spatio-temporal_WOS.pdf Ahmad, Akhlaq and ., Md. Abdur Rahman and Wahiddin, Mohamed Ridza and Rehman, Faizan Ur and Khelil, Abdelmajid and Lbath, Ahmed (2018) Context-aware services based on spatio-temporal zoning and crowdsourcing. Behaviour & Information Technology, 37 (7). pp. 736-760. ISSN 0144-929X E-ISSN 1362-3001 https://www.tandfonline.com/doi/full/10.1080/0144929X.2018.1476586?scroll=top&needAccess=true 10.1080/0144929X.2018.1476586 |
| spellingShingle | T58.5 Information technology T58.6 Management information systems Ahmad, Akhlaq ., Md. Abdur Rahman Wahiddin, Mohamed Ridza Rehman, Faizan Ur Khelil, Abdelmajid Lbath, Ahmed Context-aware services based on spatio-temporal zoning and crowdsourcing |
| title | Context-aware services based on spatio-temporal zoning and crowdsourcing |
| title_full | Context-aware services based on spatio-temporal zoning and crowdsourcing |
| title_fullStr | Context-aware services based on spatio-temporal zoning and crowdsourcing |
| title_full_unstemmed | Context-aware services based on spatio-temporal zoning and crowdsourcing |
| title_short | Context-aware services based on spatio-temporal zoning and crowdsourcing |
| title_sort | context-aware services based on spatio-temporal zoning and crowdsourcing |
| topic | T58.5 Information technology T58.6 Management information systems |
| url | http://irep.iium.edu.my/64739/ http://irep.iium.edu.my/64739/ http://irep.iium.edu.my/64739/ http://irep.iium.edu.my/64739/2/64739_Context-aware%20services%20based_SCOPUS.pdf http://irep.iium.edu.my/64739/13/64739_Context-aware%20services%20based%20on%20spatio-temporal.pdf http://irep.iium.edu.my/64739/14/64739_Context-aware%20services%20based%20on%20spatio-temporal_WOS.pdf |