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CrowdTargeting: Making Crowds More Personal

datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorCosta, Joana
dc.contributor.authorSilva, Catarina
dc.contributor.authorRibeiro, Bernardete
dc.contributor.authorAntunes, Mário
dc.date.accessioned2026-03-19T14:59:56Z
dc.date.available2026-03-19T14:59:56Z
dc.date.issued2013-12
dc.descriptionArticle number 6735562
dc.description.abstractCrowdsourcing is a bubbling research topic that has the potential to be applied in numerous online and social scenarios. It consists on obtaining services or information by soliciting contributions from a large group of people. However, the question of defining the appropriate scope of a crowd to tackle each scenario is still open. In this work we compare two approaches to define the scope of a crowd in a classification problem, casted as a recommendation system. We propose a similarity measure to determine the closeness of a specific user to each crowd contributor and hence to define the appropriate crowd scope. We compare different levels of customization using crowd-based information, allowing non-experts classification by crowds to be tuned to substitute the user profile definition. Results on a real recommendation data set show the potential of making crowds more personal, i.e. of tuning the crowd to the crowdtarget.eng
dc.description.sponsorshipWe gratefully acknowledge iCIS project (CENTRO-07-ST24-FEDER-002003).
dc.identifier.citationJ. Costa, C. Silva, B. Ribeiro and M. Antunes, "CrowdTargeting: Making Crowds More Personal," 2013 8th International Workshop on Semantic and Social Media Adaptation and Personalization, Bayonne, France, 2013, pp. 21-26, doi: 10.1109/SMAP.2013.20.
dc.identifier.doi10.1109/smap.2013.20
dc.identifier.isbn978-076955132-6
dc.identifier.urihttp://hdl.handle.net/10400.8/15924
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/6735562
dc.relation.ispartof2013 8th International Workshop on Semantic and Social Media Adaptation and Personalization
dc.rights.uriN/A
dc.subjectCrowdsourcing
dc.subjectRecommendation Systems
dc.subjectCustomization
dc.subjectText Classification
dc.titleCrowdTargeting: Making Crowds More Personaleng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2013
oaire.citation.conferencePlaceBayonne, France
oaire.citation.endPage26
oaire.citation.startPage21
oaire.citation.titleProceedings - 8th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2013
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameCosta
person.familyNameSilva
person.familyNameAntunes
person.givenNameJoana
person.givenNameCatarina
person.givenNameMário
person.identifierR-000-NX4
person.identifier.ciencia-id1B19-3DDC-BE75
person.identifier.ciencia-idAF10-7EDD-5153
person.identifier.orcid0000-0002-4053-5718
person.identifier.orcid0000-0002-5656-0061
person.identifier.orcid0000-0003-3448-6726
person.identifier.scopus-author-id25930820200
relation.isAuthorOfPublication23d200dc-1a81-4bd9-9a4a-0efc28af6ce4
relation.isAuthorOfPublicationee28e079-5ca7-4842-9094-372c40f75c38
relation.isAuthorOfPublicatione3e87fb0-d1d6-44c3-985d-920a5560f8c1
relation.isAuthorOfPublication.latestForDiscoveryee28e079-5ca7-4842-9094-372c40f75c38

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