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Registro Completo |
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
03/10/2011 |
Data da última atualização: |
05/02/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
ASTOLFI, G.; MAGALHAES, V. M. A. de; SILVA, M. A. R.; ANACLETO, J. C. |
Afiliação: |
GILBERTO ASTOLFI, UFSCAR; VANESSA MAIA AGUIAR DE MAGALHAES, CNPGL; MARCOS ALEXANDRE ROSE SILVA, UFSCAR; JUNIA COUTINHO ANACLETO, UFSCAR. |
Título: |
Identifying people who are talking about the same topic in social networks even having a different cultural background. |
Ano de publicação: |
2011 |
Fonte/Imprenta: |
Revista de Informática Teórica e Aplicada, v. 17, n. 2, p. 234-248, 2011. |
DOI: |
https://doi.org/10.22456/2175-2745.16996 |
Idioma: |
Inglês |
Conteúdo: |
Social media are assumed here as a blending of technology and social interaction for the co-creation of value, as in social networks. We discuss that in such environments, it is possible to find people with common interests that potentially can promote discussions, teaching and learning from each other. However, the approaches to recommend people to interact with in the social network still do not consider the users’ cultural background. This paper describes an approach to identify people who are talking about the same topic in social networks, even having a different cultural background, in order to introduce to each other and leverage interaction to exchange experience, knowledge, etc. Some tests’ results applying the proposal are presented. The approach was adopted in three different topics of discussion and the resultssuggest that the generated cultural understanding improves the chances of identifying people with similar interests. |
Palavras-Chave: |
Cultural knowledge database; Cultural translation; Feasibility study. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 01673naa a2200205 a 4500 001 1902102 005 2024-02-05 008 2011 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.22456/2175-2745.16996$2DOI 100 1 $aASTOLFI, G. 245 $aIdentifying people who are talking about the same topic in social networks even having a different cultural background.$h[electronic resource] 260 $c2011 520 $aSocial media are assumed here as a blending of technology and social interaction for the co-creation of value, as in social networks. We discuss that in such environments, it is possible to find people with common interests that potentially can promote discussions, teaching and learning from each other. However, the approaches to recommend people to interact with in the social network still do not consider the users’ cultural background. This paper describes an approach to identify people who are talking about the same topic in social networks, even having a different cultural background, in order to introduce to each other and leverage interaction to exchange experience, knowledge, etc. Some tests’ results applying the proposal are presented. The approach was adopted in three different topics of discussion and the resultssuggest that the generated cultural understanding improves the chances of identifying people with similar interests. 653 $aCultural knowledge database 653 $aCultural translation 653 $aFeasibility study 700 1 $aMAGALHAES, V. M. A. de 700 1 $aSILVA, M. A. R. 700 1 $aANACLETO, J. C. 773 $tRevista de Informática Teórica e Aplicada$gv. 17, n. 2, p. 234-248, 2011.
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