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I Seek You: Searching and Matching Individuals In Social Networks

机译:我寻求您:在社交网络中搜索和匹配个人

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The first task any individual faces after joining an online social network (OSN) is locating friends that are present on that particular site. Most OSNs offer some variation of a tool that imports email contact lists to facilitate the task of finding one's friends. However, given that OSNs attempt to reconnect individuals with past acquaintances, one might not have access to the email address for a long lost friend. Furthermore, people tend to utilize a number of aliases online, meaning that an email address cannot always be used to reliably find a friend. Thus, new members must still manually search for friends based on a number of biographical attributes, such as gender, age, hometown, etc. It is not clear, however, what attributes are useful for conducting the search. Even after the search has been performed, the person performing the search might be left with a number of candidate profiles. In this paper, we develop a system for searching and matching individuals in OSNs. We evaluate the efficacy of our person matching techniques by measuring the overlap between social networks, and comparing our results to those published by compete.com. We then look at several interesting properties of overlapping profiles in both networks.
机译:任何人加入在线社交网络(OSN)后面临的首要任务是找到该特定站点上存在的朋友。大多数OSN提供了一些工具的变体,该工具可以导入电子邮件联系人列表,以简化寻找朋友的任务。但是,鉴于OSN试图重新建立与过去相识的人的联系,一个长期失去的朋友可能无法访问该电子邮件地址。此外,人们倾向于在线使用许多别名,这意味着电子邮件地址不能总是用于可靠地找到朋友。因此,新成员仍然必须根据许多传记属性(例如性别,年龄,家乡等)手动搜索朋友。但是,不清楚哪些属性对进行搜索有用。即使在执行搜索之后,执行搜索的人也可能会留下许多候选配置文件。在本文中,我们开发了一个用于搜索和匹配OSN中个人的系统。我们通过测量社交网络之间的重叠程度,并将我们的结果与compet.com发布的结果进行比较,来评估人员匹配技术的功效。然后,我们研究两个网络中重叠配置文件的几个有趣的属性。

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