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1. 发明授权

US10171335B2 Analysis of site speed performance anomalies caused by server-side issues 有权
公开(公告)号：US10171335B2
公开(公告)日：2019-01-01
申请号：US14956131
申请日：2015-12-01
申请人： LinkedIn Corporation
发明人： Ritesh Maheshwari , Liang Zhang , Yang Yang , Jieying Chen , Toon Sripatanaskul , Ruixuan Hou , Steven S. Noble , David Q. He , Sanjay S. Dubey , Deepak Agarwal
IPC分类号： H04L12/26 , H04L12/24
摘要： The disclosed embodiments provide a system for processing data. During operation, the system obtains a component of a time-series performance metric associated with a server-side root cause of an anomaly in the time-series performance metric. Next, the system obtains a call graph representation of the component, wherein the call graph representation includes a parent node having a parent value of the component and a set of child nodes of the parent node, each child node having a corresponding child value of the component. The system then analyzes the call graph representation to identify one or more of the child nodes as sources of the anomaly. Finally, the system outputs an alert that identifies the sources of the anomaly.

2. 发明申请

US20170155537A1 ROOT CAUSE INVESTIGATION OF SITE SPEED PERFORMANCE ANOMALIES 审中-公开
公开(公告)号：US20170155537A1
公开(公告)日：2017-06-01
申请号：US14956137
申请日：2015-12-01
申请人： LinkedIn Corporation
发明人： Ritesh Maheshwari , Liang Zhang , Yang Yang , Jieying Chen , Toon Sripatanaskul , Ruixuan Hou , Steven S. Noble , David Q. He , Sanjay S. Dubey , Deepak Agarwal
IPC分类号： H04L12/24
CPC分类号： H04L41/064 , H04L43/08
摘要： The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of components of a time-series performance metric associated with an anomaly in a performance of one or more monitored systems. For each component in the set of components, the system performs a statistical hypothesis test on the component to assess a deviation of the component from a baseline value of the component. When the statistical hypothesis test identifies a statistically significant deviation of the component from the baseline value, the system outputs an alert comprising a root cause of the anomaly that is represented by the statistically significant deviation of the component from the baseline value.

3. 发明申请

US20170155570A1 ANALYSIS OF SITE SPEED PERFORMANCE ANOMALIES CAUSED BY SERVER-SIDE ISSUES 审中-公开
公开(公告)号：US20170155570A1
公开(公告)日：2017-06-01
申请号：US14956131
申请日：2015-12-01
申请人： LinkedIn Corporation
发明人： Ritesh Maheshwari , Liang Zhang , Yang Yang , Jieying Chen , Toon Sripatanaskul , Ruixuan Hou , Steven S. Noble , David Q. He , Sanjay S. Dubey , Deepak Agarwal
IPC分类号： H04L12/26
CPC分类号： H04L43/50 , H04L41/064 , H04L41/065 , H04L43/045 , H04L43/067
摘要： The disclosed embodiments provide a system for processing data. During operation, the system obtains a component of a time-series performance metric associated with a server-side root cause of an anomaly in the time-series performance metric. Next, the system obtains a call graph representation of the component, wherein the call graph representation includes a parent node having a parent value of the component and a set of child nodes of the parent node, each child node having a corresponding child value of the component. The system then analyzes the call graph representation to identify one or more of the child nodes as sources of the anomaly. Finally, the system outputs an alert that identifies the sources of the anomaly.

4. 发明授权

US10504026B2 Statistical detection of site speed performance anomalies 有权
公开(公告)号：US10504026B2
公开(公告)日：2019-12-10
申请号：US14956095
申请日：2015-12-01
申请人： LinkedIn Corporation
发明人： Ritesh Maheshwari , Liang Zhang , Yang Yang , Jieying Chen , Ruixuan Hou , Steven S. Noble , David Q. He , Sanjay S. Dubey , Deepak Agarwal
IPC分类号： G06N5/04
CPC分类号： G06N5/045
摘要： A system for processing data is provided. During operation, the system obtains a current window of one or more intervals of timeseries data collected from a monitored system. Next, the system continuously performs a statistical hypothesis test that compares the one or more intervals of the time-series data with baseline values from historic time-series data associated with the monitored system. When the statistical hypothesis test indicates a deviation of the time-series data from the baseline values, the system outputs an alert of an anomaly represented by the deviation.

5. 发明授权

US10263833B2 Root cause investigation of site speed performance anomalies 有权
公开(公告)号：US10263833B2
公开(公告)日：2019-04-16
申请号：US14956137
申请日：2015-12-01
申请人： LinkedIn Corporation
发明人： Ritesh Maheshwari , Liang Zhang , Yang Yang , Jieying Chen , Toon Sripatanaskul , Ruixuan Hou , Steven S. Noble , David Q. He , Sanjay S. Dubey , Deepak Agarwal
IPC分类号： H04L12/24 , H04L12/26
摘要： The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of components of a time-series performance metric associated with an anomaly in a performance of one or more monitored systems. For each component in the set of components, the system performs a statistical hypothesis test on the component to assess a deviation of the component from a baseline value of the component. When the statistical hypothesis test identifies a statistically significant deviation of the component from the baseline value, the system outputs an alert comprising a root cause of the anomaly that is represented by the statistically significant deviation of the component from the baseline value.

6. 发明申请

US20160092840A1 FORECASTING JOB APPLICANT DATA FOR A JOB POSTING 审中-公开
标题翻译：预测作业职位的工作申请人数据
公开(公告)号：US20160092840A1
公开(公告)日：2016-03-31
申请号：US14557346
申请日：2014-12-01
申请人： LinkedIn Corporation
发明人： Eduardo Vivas , Deniz Kahramaner , Deepak Kumar , Jieying Chen , Onkar Anant Dalal , Vibhu Prakash Saxena
IPC分类号： G06Q10/10 , G06F17/30
CPC分类号： G06Q10/1053 , G06F16/9535
摘要： Techniques for upselling a limited job posting to a premium job posting are described. A determination module can access job listing data from a limited job. Additionally, the determination module can access member data from a social network. Furthermore, the determination module can determine a value for the limited job posting based on the accessed job listing data and the accessed member data. Moreover, the determination module can generate a job application based on the accessed job listing data and the accessed member data, when the determined value is above a predetermined threshold. Subsequently, the determination module and an upsell module can upsell the limited job posting to a premium job posting by using the generated job application data. In some instances, the upsell module can market to the job poster in order to upsell the limited job listing, and fill empty job slots already paid by the job poster.
摘要翻译：描述了将有限工作发布到高级职位的技术。确定模块可以从有限的作业访问作业列表数据。此外，确定模块可以从社交网络访问成员数据。此外，确定模块可以基于所访问的作业列表数据和访问的成员数据来确定有限作业发布的值。此外，当确定的值高于预定阈值时，确定模块可以基于所访问的作业列表数据和所访问的成员数据来生成作业应用程序。随后，确定模块和加售模块可以通过使用生成的作业应用数据来将有限的作业发布加载到高级作业发布。在某些情况下，加售模块可以向招聘海报上市，以加强有限的工作清单，并填补已经由工作海报支付的空的工作空间。

7. 发明申请

US20170154275A1 STATISTICAL DETECTION OF SITE SPEED PERFORMANCE ANOMALIES 审中-公开
公开(公告)号：US20170154275A1
公开(公告)日：2017-06-01
申请号：US14956095
申请日：2015-12-01
申请人： LinkedIn Corporation
发明人： Ritesh Maheshwari , Liang Zhang , Yang Yang , Jieying Chen , Ruixuan Hou , Steven S. Noble , David Q. He , Sanjay S. Dubey , Deepak Agarwal
IPC分类号： G06N7/00
CPC分类号： G06N5/045
摘要： The disclosed embodiments provide a system for processing data. During operation, the system obtains a current window of one or more intervals of time-series data collected from a monitored system. Next, the system continuously performs a statistical hypothesis test that compares the one or more intervals of the time-series data with baseline values from historic time-series data associated with the monitored system. When the statistical hypothesis test indicates a deviation of the time-series data from the baseline values, the system outputs an alert of an anomaly represented by the deviation.

8. 发明申请

US20160253709A1 ONLINE ADVERTISEMENT FORECASTING USING TARGETED MESSAGES 审中-公开
标题翻译：在线广告预测使用有针对性的消息
公开(公告)号：US20160253709A1
公开(公告)日：2016-09-01
申请号：US14642586
申请日：2015-03-09
申请人： LinkedIn Corporation
发明人： Jieying Chen , Tingting Cui , Zhifeng Deng , Siyu You , Deepak Kumar , Guangyu Dong , Sanjay Kshetramade , Jan Schellenberger
IPC分类号： G06Q30/02 , G06Q50/00
CPC分类号： G06Q30/0269 , G06Q30/0261 , G06Q30/0264 , G06Q50/01
摘要： Techniques for forecasting for an advertisement campaign are described. A personalized communication system can receive a request for an advertisement campaign on a social network. The request can have a member attribute and a time frame. The personalized communication system can access member data and behavior data from the social network. Additionally, the personalized communication system can determine a target group based on the member data and the member attribute. Furthermore, the personalized communication system can calculate a number of unique visitors to the social network from the target group based on the member attribute, the time frame, and a frequency cap. Subsequently, the personalized communication system can forecast a number of messages for the first advertisement campaign based on the calculated number of unique visitors, the behavior data, and the time frame.
摘要翻译：描述了广告活动预测技术。个性化通信系统可以在社交网络上接收广告活动的请求。该请求可以具有成员属性和时间框架。个性化通信系统可以从社交网络访问成员数据和行为数据。此外，个性化通信系统可以基于成员数据和成员属性来确定目标组。此外，个性化通信系统可以基于成员属性，时间框架和频率上限，从目标组计算出社交网络的唯一访问者数量。随后，个性化通信系统可以基于计算出的唯一访问者的数量，行为数据和时间帧来预测第一广告活动的多个消息。

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