Context-aware services based on spatio-temporal zoning and crowdsourcing

• Main Authors: Ahmad, Akhlaq, ., Md. Abdur Rahman, Wahiddin, Mohamed Ridza, Rehman, Faizan Ur, Khelil, Abdelmajid, Lbath, Ahmed
• Format: Article
• Language: English; English; English
• Published: Taylor and Francis Ltd. 2018
• Subjects: T58.5 Information technology; T58.6 Management information systems
• Online Access: 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; http://irep.iium.edu.my/64739/; https://www.tandfonline.com/doi/full/10.1080/0144929X.2018.1476586?scroll=top&needAccess=true
• Institution: Universiti Islam Antarabangsa Malaysia

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...