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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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2.
公开(公告)号:US20160026961A1
公开(公告)日:2016-01-28
申请号:US14340372
申请日:2014-07-24
申请人: Linkedln Corporation
CPC分类号: G06Q10/06398 , G06F16/2228 , G06Q30/02 , G06Q50/01
摘要: The disclosed embodiments provide a system that processes data. During operation, the system obtains a set of data associated with social selling practices for a sales entity on a social network. Next, the system calculates, on a processor, a set of metrics from the data, wherein the metrics are associated with creating a professional brand, finding prospects, engaging with insights, and building relationships. The system then aggregates the metrics into a social selling index (SSI) score for the sales entity. Finally, the system provides the SSI score for use in managing the social selling practices of the sales entity.
摘要翻译: 所公开的实施例提供了处理数据的系统。 在运营期间,系统获得与社交网络上的销售实体的社交销售实践相关联的一组数据。 接下来,系统在处理器上计算来自数据的一组指标,其中度量与创建专业品牌相关联,寻找潜在客户,参与洞察和建立关系。 然后,系统将指标聚合为销售实体的社会销售指数(SSI)分数。 最后,该系统提供用于管理销售实体的社会销售实践的SSI分数。
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3.
公开(公告)号:US20170308806A1
公开(公告)日:2017-10-26
申请号:US15135405
申请日:2016-04-21
申请人: Linkedln Corporation
发明人: John Chao , Huan Hoang , Yan Liu , Qiang Zhu , Wenjing Zhang , Clay Blanchard , Christopher Fuller , Xing Zhou
CPC分类号: G06N20/00 , G06F16/24578 , G06F16/9535 , G06Q10/1053 , G06Q50/01
摘要: Techniques are provided for determining a propensity or likelihood that a person in a social network will perform a particular action. A statistical model that is trained based on multiple features of each member in a first plurality of members of a social network is stored. The multiple features include a subset pertaining to profile information provided by the first plurality of members and stored in a plurality of profiles of the first plurality of members. For each member of a second plurality of members of the social network, multiple feature values that correspond to the plurality of features are identified, the statistical model is used to generate a score for the member. The score indicates a likelihood that the member will perform the particular action.
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