The week's pick
Reseach Article
Pervasive Recommender System for Smart Home Environment
| International Journal of Applied Information Systems |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 10 - Number 9 |
| Year of Publication: 2016 |
| Authors: Naouar Belghini, Nesrine Gouttaya, Wafaâ Bouab Bennani, Adil Sayouti |
10.5120/ijais2016451528
|
Naouar Belghini, Nesrine Gouttaya, Wafaâ Bouab Bennani, Adil Sayouti . Pervasive Recommender System for Smart Home Environment. International Journal of Applied Information Systems. 10, 9 ( May 2016), 1-7. DOI=10.5120/ijais2016451528
Abstract
Buildings today become complex in terms of structures and advanced technologies. Intelligent buildings are autonomic environment that provide useful services to make occupants lives’ more comfortable (e.g. physical security, automatic lighting, thermal comfort, etc…). Smart buildings use IT systems to connect a variety of independent sub-systems, so that these systems can share information to improve total building performance. In this paper, we propose an approach that offers the most relevant services to inhabitants according to the contextual information provided by the physical sensors. The proposed approach considers five parameters to represent the contextual information: the user activity (sleeping, walking, sitting down, …), time(morning, afternoon, night, …) localization ( kitchen, living room,..), temperature(warm, cold, hot, …) , special event (ween end, holidays,..) and activate the most adequate service to be applied in a given context of use.
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