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公开(公告)号：US20170046442A1
公开(公告)日：2017-02-16
申请号：US15335947
申请日：2016-10-27
申请人： Linkedln Corporation
发明人： Junghoon (Andrew) Ahn , Abhishek Gupta , Christian Posse , Anmol Bhasin , Yurong Shi , Jian Li , Jacob Kessler
CPC分类号： G06F16/9535 , G06F16/9038 , G06F16/95 , H04L51/32 , H04L67/22 , H04L67/306
摘要： Disclosed in some examples are methods, systems and machine readable medium for recommending an out-of-network communication by determining a set of potential recommended members of a social networking service based upon one or more recommendation criteria. In some examples the recommendation criteria may include: a profile similarity to a previous target of an out-of-network communication, a degree of correspondence between an interest and intent of the sending member, and a likelihood of response.
摘要翻译： 在一些示例中公开了用于通过基于一个或多个推荐标准确定社交网络服务的一组潜在推荐成员来推荐网络外通信的方法，系统和机器可读介质。 在一些示例中，推荐标准可以包括：与网络外通信的先前目标的简档相似性，发送成员的兴趣和意图之间的对应程度以及响应的可能性。
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公开(公告)号：US20170069037A1
公开(公告)日：2017-03-09
申请号：US14845483
申请日：2015-09-04
申请人： Linkedln Corporation
CPC分类号： G06Q50/01 , G06Q10/1053 , H04L67/306
摘要： Disclosed in some examples are methods, systems, and machine-readable mediums which determine the flow of skills from one entity to another over a given time period and display those in an advanced graphical user interface display. Example entities for which skill flow may be determined may include geographical locations, companies, universities, and the like. The social networking system may determine skill flows based upon the skills associated with members who report changes in employment.
摘要翻译： 在一些示例中公开的是在给定时间段内确定技能从一个实体到另一个实体的流程的方法，系统和机器可读介质，并且显示在高级图形用户界面显示中的那些。 可以确定技能流程的示例实体可以包括地理位置，公司，大学等。 社交网络系统可以根据与报告工作变化的成员相关的技能来确定技能流程。
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公开(公告)号：US20160043987A1
公开(公告)日：2016-02-11
申请号：US14923182
申请日：2015-10-26
申请人： Linkedln Corporation
发明人： Junghoon (Andrew) Ahn , Abhishek Gupta , Christian Posse , Anmol Bhasin , Yurong Shi , Jian Li , Jacob Kessler
CPC分类号： G06F17/30867 , G06F17/30861 , G06F17/30991 , H04L51/32 , H04L67/22 , H04L67/306
摘要： Disclosed in some examples are methods, systems and machine readable medium for recommending an out-of-network communication by determining a set of potential recommended members of a social networking service based upon one or more recommendation criteria. In some examples the recommendation criteria may include: a profile similarity to a previous target of an out-of-network communication, a degree of correspondence between an interest and intent of the sending member, and a likelihood of response.
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