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A context-aware intentional service prediction mechanism in PIS

Authors :
Salma Najar
Manuele Kirsch Pinheiro
Carine Souveyet
Centre de Recherche en Informatique de Paris 1 (CRI)
Université Paris 1 Panthéon-Sorbonne (UP1)
David De Roure, Bhavani Thuraisingham and Jia Zhang
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.

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