Publicação
CrowdTargeting: Making Crowds More Personal
| datacite.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | |
| datacite.subject.sdg | 03:Saúde de Qualidade | |
| datacite.subject.sdg | 07:Energias Renováveis e Acessíveis | |
| datacite.subject.sdg | 11:Cidades e Comunidades Sustentáveis | |
| dc.contributor.author | Costa, Joana | |
| dc.contributor.author | Silva, Catarina | |
| dc.contributor.author | Ribeiro, Bernardete | |
| dc.contributor.author | Antunes, Mário | |
| dc.date.accessioned | 2026-03-19T14:59:56Z | |
| dc.date.available | 2026-03-19T14:59:56Z | |
| dc.date.issued | 2013-12 | |
| dc.description | Article number 6735562 | |
| dc.description.abstract | Crowdsourcing 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.sponsorship | We gratefully acknowledge iCIS project (CENTRO-07-ST24-FEDER-002003). | |
| dc.identifier.citation | J. 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.doi | 10.1109/smap.2013.20 | |
| dc.identifier.isbn | 978-076955132-6 | |
| dc.identifier.uri | http://hdl.handle.net/10400.8/15924 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | IEEE Canada | |
| dc.relation.hasversion | https://ieeexplore.ieee.org/document/6735562 | |
| dc.relation.ispartof | 2013 8th International Workshop on Semantic and Social Media Adaptation and Personalization | |
| dc.rights.uri | N/A | |
| dc.subject | Crowdsourcing | |
| dc.subject | Recommendation Systems | |
| dc.subject | Customization | |
| dc.subject | Text Classification | |
| dc.title | CrowdTargeting: Making Crowds More Personal | eng |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.citation.conferenceDate | 2013 | |
| oaire.citation.conferencePlace | Bayonne, France | |
| oaire.citation.endPage | 26 | |
| oaire.citation.startPage | 21 | |
| oaire.citation.title | Proceedings - 8th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2013 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Costa | |
| person.familyName | Silva | |
| person.familyName | Antunes | |
| person.givenName | Joana | |
| person.givenName | Catarina | |
| person.givenName | Mário | |
| person.identifier | R-000-NX4 | |
| person.identifier.ciencia-id | 1B19-3DDC-BE75 | |
| person.identifier.ciencia-id | AF10-7EDD-5153 | |
| person.identifier.orcid | 0000-0002-4053-5718 | |
| person.identifier.orcid | 0000-0002-5656-0061 | |
| person.identifier.orcid | 0000-0003-3448-6726 | |
| person.identifier.scopus-author-id | 25930820200 | |
| relation.isAuthorOfPublication | 23d200dc-1a81-4bd9-9a4a-0efc28af6ce4 | |
| relation.isAuthorOfPublication | ee28e079-5ca7-4842-9094-372c40f75c38 | |
| relation.isAuthorOfPublication | e3e87fb0-d1d6-44c3-985d-920a5560f8c1 | |
| relation.isAuthorOfPublication.latestForDiscovery | ee28e079-5ca7-4842-9094-372c40f75c38 |
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