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A context-aware intentional service prediction mechanism in PIS
- Source :
- 2014 IEEE International Conference on Web Services, 2014 IEEE International Conference on Web Services, Jun 2014, Anchorage, Alaska, United States. pp.662-669, ⟨10.1109/ICWS.2014.97⟩, ICWS
- Publication Year :
- 2014
- Publisher :
- HAL CCSD, 2014.
-
Abstract
- International audience; Pervasive Information System (PIS) represents a new generation of Information Systems (IS) available anytime, anywhere in a pervasive environment. In this paper, we propose to enhance PIS transparency and efficiency through a context-aware intentional service prediction approach. This approach allows anticipating user's future needs, offering and recommending him the most suitable service in a transparent and discrete way. We detail in this paper our service prediction mechanism and present encouraging experimental results demonstrating our proposition.
- Subjects :
- Context model
Service (systems architecture)
context-aware
Computer science
Service-orientation
Context (language use)
service orientation
Transparency (human–computer interaction)
prediction
computer.software_genre
World Wide Web
[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing
[INFO.INFO-MC]Computer Science [cs]/Mobile Computing
classification
Human–computer interaction
intention
pervasive information system
Information system
Web service
Cluster analysis
computer
clustering
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- 2014 IEEE International Conference on Web Services, 2014 IEEE International Conference on Web Services, Jun 2014, Anchorage, Alaska, United States. pp.662-669, ⟨10.1109/ICWS.2014.97⟩, ICWS
- Accession number :
- edsair.doi.dedup.....3ea234703a0f9c66066274a3fa39948e