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User profiling and its dynamics: a narrative review

2026-01-22Artigo científico Acesso aberto
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datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
dc.contributor.authorFreitas, Diogo Nuno
dc.contributor.authorVarela, Katherin
dc.contributor.authorFermé, Eduardo
dc.contributor.authorFreitas, Diogo Nuno
dc.contributor.authorVarela, Katherin
dc.contributor.authorFermé, Eduardo
dc.date.accessioned2026-08-10T15:04:10Z
dc.date.available2026-08-10T15:04:10Z
dc.date.issued2026-01-22
dc.description.abstract<jats:p>The need for personalized content has grown considerably with the increasing amount of online information. User profiles, as structured collections of user characteristics and interests, are essential for personalization because they help systems better understand individual preferences and deliver more relevant content. This review examines methods for user profiling and their adaptation over time. We organize existing literature into five categories: User Profile Modeling, Profile Dynamics, Recommendation Systems, Personalized Systems, and Adaptive Systems. Key findings highlight the importance of combining explicit and implicit data collection methods, differentiating between short- and long-term user preferences, and employing techniques such as evolutionary algorithms, context-awareness, and explainability. Additionally, we identify promising areas for future research, including multimodal data integration, scalability, privacy preservation, contextual adaptation, and universal user models. This review aims to help readers navigate the extensive literature and provide insights to support the development of practical applications based on user profiling techniques.</jats:p>eng
dc.identifier.citationFreitas, D. N., Varela, K., & Fermé, E. (2026). User Profiling and Its Dynamics: A Narrative Review. The European Journal on Artificial Intelligence, 30504554251407092.
dc.identifier.doi10.1177/30504554251407092
dc.identifier.issn3050-4554
dc.identifier.issn3050-4546
dc.identifier.urihttp://hdl.handle.net/10400.13/7923
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSAGE Publications
dc.relationNOVA Laboratory for Computer Science and Informatics
dc.relationUser Profiling: An AGM-Based Belief Revision Approach Applied to Dynamic of Profiles
dc.relationUIDB/04516/2020
dc.relation2021.07966.BD
dc.relation.ispartofThe European Journal on Artificial Intelligence
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectUser profiles
dc.subjectUser modeling
dc.subjectPersonalization
dc.subjectProfile dynamics
dc.subjectRecommendation systems
dc.subject.
dc.subjectFaculdade de Ciências Exatas e da Engenharia
dc.titleUser profiling and its dynamics: a narrative revieweng
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberUIDB/04516/2020
oaire.awardNumber2021.07966.BD
oaire.awardTitleNOVA Laboratory for Computer Science and Informatics
oaire.awardTitleUser Profiling: An AGM-Based Belief Revision Approach Applied to Dynamic of Profiles
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04516%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//2021.07966.BD/PT
oaire.citation.titleThe European Journal on Artificial Intelligence
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameFreitas
person.familyNameVarela
person.familyNameFermé
person.givenNameDiogo Nuno
person.givenNameKatherin
person.givenNameEduardo
person.identifierhttps://scholar.google.com/citations?user=Qu6aCR8AAAAJ&hl
person.identifier.ciencia-idC515-D92F-8F54
person.identifier.orcid0000-0002-2351-8676
person.identifier.orcid0009-0006-4364-6030
person.identifier.orcid0000-0002-9618-2421
person.identifier.scopus-author-id6507544015
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
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