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Tagging Resources, Tagging Communities

机译:标记资源,标记社区

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摘要

Most of the existing social network systems require from their users an explicit statement of their friendship relations. In this paper we focus on implicit communities of Web users and present an approach to automatically detect such communities based on user's resource manipulations. This approach is dynamic as user groups appear and evolve along with users interests over time, Moreover, new resources are dynamically labeled according to who is manipulating them. Our proposal relies on the fuzzy K-mean clustering method and is assessed on large movie data sets.
机译:大多数现有的社交网络系统都需要他们的用户明确声明他们的友谊关系。在本文中,我们专注于网络用户的隐式社区,并提出了一种基于用户资源操作自动检测此类社区的方法。这种方法是动态的,因为用户组出现并随着用户的兴趣而发展随着时间的推移,新的资源是根据谁动态标记的,根据谁操纵它们。我们的提案依赖于模糊k均值聚类方法,并在大型电影数据集中进行评估。

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