Generating Profiles for a Lurking User by its Followees' Social Context in Microblogs

Zhao Zhang, Bin Zhao, Weining Qian, Aoying Zhou
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引用次数: 5

Abstract

Microblogs, a mixture of new media and social networks, is a hotbed of lurking users. It is meaningful to capture profiles for a lurking user in customized applications because a lurking user can receive all messages except for sending few messages in microblogs. However, it is difficult to capture profiles for a lurking user because of lacking its user-generated contents. In this paper, we propose an approach to generate the lurking user's profiles by its followees' activities. In addition, we present a unified social context graph model to represent the lurking user's followees' activities. And the RWR algorithm is used to generate profiles of the lurking user in this graph model. Extensive experiments show that our approach can effectively determine profiles for lurking users.
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在微博中通过其追随者的社会背景为潜伏用户生成个人资料
微博是新媒体和社交网络的混合体,是潜伏用户的温床。在自定义应用程序中捕获潜伏用户的配置文件是有意义的,因为潜伏用户除了在微博中发送少量消息外,可以接收所有消息。然而,由于缺乏用户生成的内容,很难捕获潜伏用户的配置文件。在本文中,我们提出了一种通过其追随者的活动来生成潜伏用户档案的方法。此外,我们提出了一个统一的社会情境图模型来表示潜伏用户的关注者的活动。在该图模型中,利用RWR算法生成潜伏用户的轮廓。大量的实验表明,我们的方法可以有效地确定潜伏用户的配置文件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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