Data/hora: 16/06/2024 23:36:36

Biblioteca(s): 	Embrapa Gado de Leite.	
Data corrente: 	03/10/2011	
Data da última atualização: 	05/02/2024	
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	
Registro original: 	Embrapa Gado de Leite (CNPGL)	
Exemplares: 	CNPGL - (18500-1) - UPC - AP - DD -  -  -  - DIS