Title :
A Context-Aware Intentional Service Prediction Mechanism in PIS
Author :
Najar, Salma ; Pinheiro, Manuele Kirsch ; Souveyet, Carine
Author_Institution :
Centre de Rech. en Inf., Univ. Paris 1 Pantheon-Sorbonne, Paris, France
fDate :
June 27 2014-July 2 2014
Abstract :
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.
Keywords :
information systems; recommender systems; ubiquitous computing; IS generation; PIS; PIS efficiency enhancement; PIS transparency enhancement; context-aware intentional service prediction mechanism; information system generation; pervasive information system; recommendation process; user needs; Context; Context modeling; History; Information systems; Ontologies; Prediction algorithms; Predictive models; classification; clustering; context-aware; intention; pervasive information system; prediction; service orientation;
Conference_Titel :
Web Services (ICWS), 2014 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4799-5053-9
DOI :
10.1109/ICWS.2014.97
