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I Seek You: Searching and Matching Individuals In Social Networks

机译:我寻求你: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:在加入在线社交网络(OSN)之后的任何单个面部的任务是定位在该特定网站上存在的朋友。大多数OSN提供了一种导入电子邮件联系人列表的工具的一些变体,以便于找到一个人的朋友的任务。但是,鉴于OSNS尝试重新连接有过去的熟人的个人,可能无法访问长期失踪的朋友的电子邮件地址。此外,人们倾向于在线使用许多别名,这意味着不能总是用来最可靠地找到朋友的电子邮件地址。因此,新成员还必须手动搜索基于许多传记属性,如性别,年龄,籍贯等,目前还不清楚的朋友,但是,什么属性是进行搜索有用的。即使在搜索之后,也可以使用许多候选配置文件留下执行搜索的人。在本文中,我们开发了一个用于在OSN中搜索和匹配个体的系统。我们通过测量社交网络之间的重叠,并将我们的结果与Compete.com发布的那些进行比较来评估我们的人匹配技术的功效。然后,我们查看两个网络中重叠的若干有趣的属性。

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