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Reseach Article

Pervasive Recommender System for Smart Home Environment

by Naouar Belghini, Nesrine Gouttaya, Wafaâ Bouab Bennani, Adil Sayouti
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

@article{ 10.5120/ijais2016451528,
author = { Naouar Belghini, Nesrine Gouttaya, Wafaâ Bouab Bennani, Adil Sayouti },
title = { Pervasive Recommender System for Smart Home Environment },
journal = { International Journal of Applied Information Systems },
issue_date = { May 2016 },
volume = { 10 },
number = { 9 },
month = { May },
year = { 2016 },
issn = { 2249-0868 },
pages = { 1-7 },
numpages = {9},
url = { https://www.ijais.org/archives/volume10/number9/888-2016451528/ },
doi = { 10.5120/ijais2016451528 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:03:03.706094+05:30
%A Naouar Belghini
%A Nesrine Gouttaya
%A Wafaâ Bouab Bennani
%A Adil Sayouti
%T Pervasive Recommender System for Smart Home Environment
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 10
%N 9
%P 1-7
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
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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Index Terms

Computer Science
Information Sciences

Keywords

Smart home pervasive computing recommender systems human activity recognition neural network