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Big Data analysis applied to the retail sector

2024Artigo científico Acesso aberto
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dc.contributor.authorBarata, Luís
dc.contributor.authorRosa, Gonçalo
dc.contributor.authorMartins, Tiago
dc.contributor.authorSilva, Pedro Tiago Salgueiro da
dc.contributor.authorEurico, Lopes
dc.date.accessioned2024-12-19T11:31:00Z
dc.date.available2024-12-19T11:31:00Z
dc.date.issued2024
dc.description.abstractBig Data and Artificial Intelligence are rapidly evolving and transforming the world and e-commerce. To explore the most used techniques for building personalized recommendation systems and inventory management, a systematic review was conducted. It was found that hybrid Machine Learning techniques and the Hadoop system are widely used in these areas, delivering satisfactory results while maintaining scalable and efficient systems.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBARATA, Luis [et al.] (2024) - Big Data analysis applied to the retail sector. In Mediterranean Conference on Information Systems 2024, Porto - Proceedings. 41. https://aisel.aisnet.org/mcis2024/41pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.11/9245
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relation.publisherversionhttps://aisel.aisnet.org/mcis2024/41pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectBig Datapt_PT
dc.subjectData analyticspt_PT
dc.subjectPersonalization of recommendationspt_PT
dc.subjectStock managementpt_PT
dc.titleBig Data analysis applied to the retail sectorpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlacePorto, Portugalpt_PT
oaire.citation.titleMediterranean Conference on Information Systems (MCIS)pt_PT
person.familyNameLopes
person.givenNameEurico
person.identifier.ciencia-id281C-B830-CF30
person.identifier.ciencia-idC117-F943-3B96
person.identifier.orcid0000-0002-6471-4681
person.identifier.orcid0000-0002-1818-8203
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationeb1ed459-bdc5-42b3-a6aa-1d79caeabdcc
relation.isAuthorOfPublication9c74d9ee-6c71-4148-b219-2795a71a4d1b
relation.isAuthorOfPublication.latestForDiscoveryeb1ed459-bdc5-42b3-a6aa-1d79caeabdcc

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