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Automated Extraction and Reporting on Applicant Private Social Network Information

机译:申请人专用社交网络信息的自动提取和报告

摘要

A system and computer implemented method, in the case of pre-employment screening and where other commercial goods and services require review of an individual (ie an Applicant), wherein a Reviewer uses an automated, efficient permission based system to identify and access private and semi-private information of an Applicant maintained in their social network accounts, with particular benefit where these have privacy settings. The system initiates a Reviewer request, automates the Applicant's identification of and approval to their social network and automates the retrieval of relevant information and reporting to the Reviewer. The process can be initiated by either the Reviewer or the Applicant. The system filters for potential legally discriminatory protected class information from the Reviewer residing in social network accounts and returns relevant information in an efficient, automated and permission based manner.
机译:一种系统和计算机实施的方法,用于在职前审查以及其他商业商品和服务需要对个人(即申请人)进行审查的情况下,其中,审查员使用基于自动化,高效许可的系统来识别和访问私人和在其社交网络帐户中维护的申请人的半私人信息,如果这些人具有隐私设置,则将特别受益。系统启动审阅者请求,自动执行申请人对其社交网络的标识和批准,并自动检索相关信息并向审阅者报告。该过程可以由审阅者或申请人发起。该系统从驻留在社交网络帐户中的审阅者中筛选出可能在法律上有歧视性的受保护类别信息,并以有效,自动化和基于许可的方式返回相关信息。

著录项

  • 公开/公告号US2014046896A1

    专利类型

  • 公开/公告日2014-02-13

    原文格式PDF

  • 申请/专利权人 KEVIN GRANT POTTER;

    申请/专利号US201313762172

  • 发明设计人 KEVIN GRANT POTTER;

    申请日2013-02-07

  • 分类号G06F17/30;

  • 国家 US

  • 入库时间 2022-08-21 16:06:49

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