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A user-centered approach for integrating social data into groups of interest

机译:以用户为中心的方法,用于将社交数据集成到感兴趣的组中

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Social network sites with large-scale public networks like Facebook, Twitter or LinkedIn have become a very important part of our daily life. Users are increasingly connected to these services for publishing and sharing information and contents with others. Social network sites have therefore become a powerful source of contents of interest, part of which may fall into the scope of interests of a given group. So far, no efficient solution has been proposed for a group of interest to tap into social data, especially when they are protected by and scattered across different social network sites. We have therefore proposed a user-centered approach for integrating social data into groups of interests. This approach makes it possible to aggregate social data of the group's members and extract from these data the information relevant to the group's topic of interests. Moreover, it follows a user-centered design allowing each member to personalize his/her sharing settings and interests within their respective groups. We describe in this paper the conceptual and technical components of the proposed approach. To illustrate further the approach, a web-based prototype is also presented. A preliminary test using this prototype was carried out and showed encouraging results. (C) 2015 Elsevier B.V. All rights reserved.
机译:具有大规模公共网络(如Facebook,Twitter或LinkedIn)的社交网站已成为我们日常生活中非常重要的一部分。用户越来越多地连接到这些服务,以与他人发布和共享信息和内容。因此,社交网站已成为感兴趣的内容的强大来源,其中一部分可能属于给定组的兴趣范围。迄今为止,尚未提出针对感兴趣的人群利用社交数据的有效解决方案,尤其是当它们受到不同社交网站的保护并分散在不同社交网站中时。因此,我们提出了一种以用户为中心的方法,用于将社交数据集成到兴趣组中。这种方法可以汇总小组成员的社交数据,并从这些数据中提取与小组兴趣主题相关的信息。此外,它遵循以用户为中心的设计,允许每个成员在各自的组中个性化他/她的共享设置和兴趣。我们在本文中描述了所建议方法的概念和技术组成部分。为了进一步说明该方法,还介绍了基于Web的原型。进行了使用该原型的初步测试,结果令人鼓舞。 (C)2015 Elsevier B.V.保留所有权利。

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