公开(公告)号：US20150348051A1

公开(公告)日：2015-12-03

申请号：US14447923

申请日：2014-07-31

申请人： Gabriele Bodda ,  Ryan Currier ,  Venkitesh Subramanian ,  Prerna Makanawala ,  Rei Kasai ,  Devasena Rajamohan ,  Amith Manoharan Chithambaram ,  Terence Chesire ,  Kiran Karadi

发明人： Gabriele Bodda ,  Ryan Currier ,  Venkitesh Subramanian ,  Prerna Makanawala ,  Rei Kasai ,  Devasena Rajamohan ,  Amith Manoharan Chithambaram ,  Terence Chesire ,  Kiran Karadi

IPC分类号： G06Q30/00 ,  G06F17/30

CPC分类号： G06Q30/016 ,  G06Q10/06

摘要： A recommendation engine analyzes metrics on an active support ticket to provide recommended solutions, technicians and offers. The recommendation can communicate with a predictive analysis engine to identify solutions, technicians, or offers that are highly correlated with the input parameters. In some embodiments, instructions can be provided to a client device for measuring a metric that is used as an input parameter of the predictive analysis engine. The customer or the technician can follow the instructions to measure the metric.

摘要翻译： 推荐引擎分析活动支持票据上的指标，以提供推荐的解决方案，技术人员和优惠。 该建议可与预测分析引擎通信，以识别与输入参数高度相关的解决方案，技术人员或优惠。 在一些实施例中，可以向客户端设备提供用于测量用作预测分析引擎的输入参数的度量的指令。 客户或技术人员可以按照说明来衡量指标。

公开(公告)号：US09785918B2

公开(公告)日：2017-10-10

申请号：US14491594

申请日：2014-09-19

申请人： Gabriele Bodda ,  Ryan Currier ,  Venkitesh Subramanian ,  Prerna Makanawala ,  Rei Kasai ,  Devasena Rajamohan ,  Amith Manoharan Chithambaram ,  Terence Chesire ,  Kiran Karadi

发明人： Gabriele Bodda ,  Ryan Currier ,  Venkitesh Subramanian ,  Prerna Makanawala ,  Rei Kasai ,  Devasena Rajamohan ,  Amith Manoharan Chithambaram ,  Terence Chesire ,  Kiran Karadi

IPC分类号： G06Q10/00

CPC分类号： G06Q10/20

摘要： An issue tracking system capable of predicting the likelihood that an outcome of interest will occur during the lifecycle of an active support ticket. The likelihood can be represented as a severity index score. The issue tracking system can apply a predictive algorithm on attributes of the active support ticket to generate the severity index score. The predictive algorithm to use can depend on the outcome of interest while the correlation factors used to configure the predictive algorithm can depend on support tickets that have already been completed.

公开(公告)号：US20150347906A1

公开(公告)日：2015-12-03

申请号：US14491594

申请日：2014-09-19

申请人： Gabriele Bodda ,  Ryan Currier ,  Venkitesh Subramanian ,  Prerna Makanawala ,  Rei Kasai ,  Devasena Rajamohan ,  Amith Manoharan Chithambaram ,  Terence Chesire ,  Kiran Karadi

发明人： Gabriele Bodda ,  Ryan Currier ,  Venkitesh Subramanian ,  Prerna Makanawala ,  Rei Kasai ,  Devasena Rajamohan ,  Amith Manoharan Chithambaram ,  Terence Chesire ,  Kiran Karadi

IPC分类号： G06N5/04 ,  G06Q10/00 ,  G06N7/00

CPC分类号： G06Q10/20

摘要： An issue tracking system capable of predicting the likelihood that an outcome of interest will occur during the lifecycle of an active support ticket. The likelihood can be represented as a severity index score. The issue tracking system can apply a predictive algorithm on attributes of the active support ticket to generate the severity index score. The predictive algorithm to use can depend on the outcome of interest while the correlation factors used to configure the predictive algorithm can depend on support tickets that have already been completed.

摘要翻译： 一个问题跟踪系统，能够预测在活动支持票据的生命周期内感兴趣的结果将发生的可能性。 可能性可以表示为严重性指标得分。 问题跟踪系统可以对活动支持票据的属性应用预测算法，以生成严重性指标得分。 使用的预测算法可以取决于感兴趣的结果，而用于配置预测算法的相关因子可以取决于已经完成的支持票据。

公开(公告)号：US20150346918A1

公开(公告)日：2015-12-03

申请号：US14491658

申请日：2014-09-19

申请人： Gabriele Bodda ,  Ryan Currier ,  Venkitesh Subramanian ,  Prerna Mankanawala ,  Rei Kasai ,  Devasena Rajamohan ,  Amith Manoharan Chithambaram ,  Terence Chesire ,  Kiran Karadi

发明人： Gabriele Bodda ,  Ryan Currier ,  Venkitesh Subramanian ,  Prerna Mankanawala ,  Rei Kasai ,  Devasena Rajamohan ,  Amith Manoharan Chithambaram ,  Terence Chesire ,  Kiran Karadi

IPC分类号： G06F3/0482 ,  G06Q10/06 ,  G06F17/30

CPC分类号： G06Q10/06313

摘要： An issue tracking system capable of predicting the likelihood that an outcome of interest will occur during the lifecycle of an active support ticket. The likelihood can be represented as a severity index score. The issue tracking system can apply a predictive algorithm on attributes of the active support ticket to generate the severity index score. A graphics engine can present each active support ticket as a line positioned along the perimeter of an inner circle where the length of the line represents the severity index score of the corresponding active support ticket. In some examples, the lines can extend towards an outer circle that represents a predefined threshold value for the severity index score.

摘要翻译： 一个问题跟踪系统，能够预测在活动支持票据的生命周期内感兴趣的结果将发生的可能性。 可能性可以表示为严重性指标得分。 问题跟踪系统可以对活动支持票据的属性应用预测算法，以生成严重性指标得分。 图形引擎可以将每个活动支持票据呈现为沿着内圆的周界定位的线，其中线的长度表示相应的活动支持票据的严重性指标得分。 在一些示例中，线可以延伸到表示严重性指数得分的预定阈值的外圆。