Recommendation of similar users, resources and social networks in a Social Internetworking Scenario
Recommendation of similar users, resources and social networks in a Social Internetworking Scenario
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DOI：
10.1016/j.ins.2010.12.001
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发表时间：
2011-04
期刊：
影响因子：
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通讯作者：
P. D. Meo;Antonino Nocera;G. Terracina;D. Ursino
中科院分区：
文献类型：
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作者：
P. D. Meo;Antonino Nocera;G. Terracina;D. Ursino
在本文中，我们提出了一种在社交网络场景中向用户推荐相似用户、资源和社交网络的方法。我们的方法相对于现有方法提出了一些有趣的新颖之处。首先，它在社交网络环境中运行，而不是在单个社交网络上运行。此外，它不仅考虑用户之间的显性关系，还考虑隐性关系，在共同的兴趣和行为的基础上连接用户；后者源自对所考虑的社交网络场景中的用户操作的分析。此外，它还考虑了可能存在的语义异常，涉及可用用户、资源和社交网络的描述。最后，它不仅考虑有关所涉及的用户、资源和社交网络的本地信息，而且还考虑全球信息，即遍布所考虑的社交网络场景的信息。
In this paper we propose an approach to recommend to a user similar users, resources and social networks in a Social Internetworking Scenario. Our approach presents some interesting novelties with respect to the existing ones. First of all, it operates on a Social Internetworking context and not on a single social network. Moreover, it considers not only explicit relationships among users but also the implicit ones, connecting users on the basis of shared interests and behavior; the latter is derived from the analysis of user actions in the considered Social Internetworking Scenario. In addition, it considers the presence of possible semantic anomalies involving the description of available users, resources and social networks. Finally, it takes into account not only the local information regarding involved users, resources and social networks but also the global one, i.e., the information spread all over the considered Social Internetworking Scenario.