Contribution of Collaborative Filtering Approach on Environmental Big Data Analytics Context

In recent years and following the spread of internet using, the way of life in our society as well as the management of the main production sectors have changed towards digitalization (E-Commerce, E-Surgery, road traffic management, etc.) to minimize the. This change challenged researchers and organ...

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Autores principales: Salma Abarou, Abdellatif El Abderrahmani, Khalid Satori
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FR
Publicado: EDP Sciences 2021
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Acceso en línea:https://doaj.org/article/fe235434c1284433962b55a006d7fd81
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spelling oai:doaj.org-article:fe235434c1284433962b55a006d7fd812021-11-12T11:44:08ZContribution of Collaborative Filtering Approach on Environmental Big Data Analytics Context2267-124210.1051/e3sconf/202131901082https://doaj.org/article/fe235434c1284433962b55a006d7fd812021-01-01T00:00:00Zhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2021/95/e3sconf_vigisan_01082.pdfhttps://doaj.org/toc/2267-1242In recent years and following the spread of internet using, the way of life in our society as well as the management of the main production sectors have changed towards digitalization (E-Commerce, E-Surgery, road traffic management, etc.) to minimize the. This change challenged researchers and organizations to come up with solutions to manage, maintain, classify and make the best decision from the gigantic flows of data created daily while reducing environmental Damage (Consumption of Energical resources….), From which was born the Collaborative filtering approach which facilitate decision making based on the experience feedback of Internet users. This approach is used generally the big Data Analytics Algorithm to predict and classify dataSalma AbarouAbdellatif El AbderrahmaniKhalid SatoriEDP SciencesarticleEnvironmental sciencesGE1-350ENFRE3S Web of Conferences, Vol 319, p 01082 (2021)
institution DOAJ
collection DOAJ
language EN
FR
topic Environmental sciences
GE1-350
spellingShingle Environmental sciences
GE1-350
Salma Abarou
Abdellatif El Abderrahmani
Khalid Satori
Contribution of Collaborative Filtering Approach on Environmental Big Data Analytics Context
description In recent years and following the spread of internet using, the way of life in our society as well as the management of the main production sectors have changed towards digitalization (E-Commerce, E-Surgery, road traffic management, etc.) to minimize the. This change challenged researchers and organizations to come up with solutions to manage, maintain, classify and make the best decision from the gigantic flows of data created daily while reducing environmental Damage (Consumption of Energical resources….), From which was born the Collaborative filtering approach which facilitate decision making based on the experience feedback of Internet users. This approach is used generally the big Data Analytics Algorithm to predict and classify data
format article
author Salma Abarou
Abdellatif El Abderrahmani
Khalid Satori
author_facet Salma Abarou
Abdellatif El Abderrahmani
Khalid Satori
author_sort Salma Abarou
title Contribution of Collaborative Filtering Approach on Environmental Big Data Analytics Context
title_short Contribution of Collaborative Filtering Approach on Environmental Big Data Analytics Context
title_full Contribution of Collaborative Filtering Approach on Environmental Big Data Analytics Context
title_fullStr Contribution of Collaborative Filtering Approach on Environmental Big Data Analytics Context
title_full_unstemmed Contribution of Collaborative Filtering Approach on Environmental Big Data Analytics Context
title_sort contribution of collaborative filtering approach on environmental big data analytics context
publisher EDP Sciences
publishDate 2021
url https://doaj.org/article/fe235434c1284433962b55a006d7fd81
work_keys_str_mv AT salmaabarou contributionofcollaborativefilteringapproachonenvironmentalbigdataanalyticscontext
AT abdellatifelabderrahmani contributionofcollaborativefilteringapproachonenvironmentalbigdataanalyticscontext
AT khalidsatori contributionofcollaborativefilteringapproachonenvironmentalbigdataanalyticscontext
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