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公开(公告)号：US20170061343A1
公开(公告)日：2017-03-02
申请号：US14841531
申请日：2015-08-31
申请人： Linkedln Corporation
发明人： Zhaoying Han , Juan Wang , Song Lin , Xing Zhou , Qiang Zhu , SangHyun Park , Yurong Shi , Luke Thomas Whelan
CPC分类号： G06Q10/0635 , G06Q10/067 , G06Q30/0204
摘要： The disclosed embodiments provide a system for processing data. During operation, the system inputs a set of features for a customer of a product into a first statistical model, wherein the set of features comprises a company segment of the customer. Next, the system uses the first statistical model to predict a churn risk of the customer. When the churn risk exceeds a first threshold for the company segment, the system outputs a notification of a high churn risk level for the customer.
摘要翻译： 所公开的实施例提供了一种用于处理数据的系统。 在操作期间，系统将产品的客户的一组特征输入到第一统计模型中，其中该组特征包括客户的公司分段。 接下来，系统使用第一个统计模型来预测客户的流失风险。 当流失风险超过公司分部的第一个阈值时，系统会为客户输出高流失风险级别的通知。
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2.发明申请公开(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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