dc.contributor.author | Koubai, Nesrine | |
dc.contributor.author | Bouyakoub, Fayçal M’hamed | |
dc.date.accessioned | 2019-02-28T06:50:52Z | |
dc.date.available | 2019-02-28T06:50:52Z | |
dc.date.issued | 2019-03-01 | |
dc.identifier.issn | 2210-142X | |
dc.identifier.uri | https://journal.uob.edu.bh:443/handle/123456789/3425 | |
dc.description.abstract | In this paper, we discuss, in an internet of things environment, our solution regarding context management in the area of food services. We propose a system that automates the different services offered in a restaurant and connects the various equipment of this restaurant, in order to simplify and facilitate the work of employees using this system. We also have integrated a content-based recommendation module, that is based on the use of a similarity measure to keep track of the client order history in order to suggest or recommend to him similar dishes for his next orders. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | University of Bahrain | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Internet of Things | en_US |
dc.subject | Context awareness | en_US |
dc.subject | Connected restaurant | en_US |
dc.subject | Recommendation System. | en_US |
dc.title | MyRestaurant: A Smart Restaurant with a Recommendation System | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.12785/ijcds/080206 | |
dc.volume | 08 | en_US |
dc.issue | 02 | en_US |
dc.pagestart | 143 | en_US |
dc.pageend | 156 | en_US |
dc.contributor.authorcountry | Algeria | en_US |
dc.contributor.authoraffiliation | Department of Computer Science, University of Sciences and Technology Houari Boumediene, Algiers, Algeria | en_US |
dc.source.title | International Journal of Computing and Digital Systems | en_US |
dc.abbreviatedsourcetitle | IJCDS | en_US |
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