User Modeling for the Social Semantic Web

User Modeling for the Social Semantic Web
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社交语义网的用户建模

DOI:
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发表时间:
2011
期刊:
SPIM
影响因子:
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通讯作者:
S. Albayrak
S. Albayrak
中科院分区:
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文献类型:
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作者:
Till Plumbaum;Songxuan Wu;E. W. D. Luca;S. Albayrak

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我们如何利用单个用户每天在社交网络上传播的个人信息?在本文中,我们从用户模型的角度研究需要什么来支持用户数据共享和聚合以增强个性化和推荐服务。我们提出了一项对17个社交应用的研究,以定义允许共享用户数据的通用用户模型的需求和属性,并分析需要什么来增强用户模型聚合方法。因此,我们提出了一个特别适合社交网络需求的综合用户模型。此外,我们还为用户建模领域提出了一个词网,作为用户模型的一部分,以支持用户模型聚合。
How can we make use of the personal information a single user is spreading all over the Social Web every day? In this paper we investigate what is needed from a user model point of view to support user data sharing and aggregation to enhance personalization and recommendation services. We present a study of 17 social applications to define requirements and attributes for a common user model that allows sharing of user data and analyze what is needed to enhance user model aggregation approaches. As a result, we present a comprehensive user model especially fitted to the needs of the Social Web. Furthermore, we present a Word Net for the user modeling domain as part of the user model to support user model aggregation.
SERUM:收集语义用户行为以改进新闻推荐
DOI: 10.1007/978-3-642-28509-7_37
发表时间: 2012
期刊:
影响因子: --
作者:
Till Plumbaum;Andreas Lommatzsch;Ernesto De Luca;Sahin Albayrak
通讯作者: Sahin Albayrak