No abstract

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 results suggest that the generated cultural understanding improves the chances of identifying people with similar interests.

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This paper describes a methodology to identify people with common subjects but different cultures. Each person has a culture and it influences in his way to express himself or to write, etc. Because of that, nowadays, on the Web, it is very difficult a person who writes 'validating enterprise system' finds another who writes 'attesting B2B solution' because there are different words. On the other hand, there is a common subject that search engines can not identify, because it is necessary taking into consideration the cultural knowledge and experience from each person. In this context, the methodology presented here intends to consider this cultural information in order to identify when two or more people are talking about the same subject.