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公开(公告)号：US11343338B2
公开(公告)日：2022-05-24
申请号：US17079311
申请日：2020-10-23
申请人： Quantum Metric, Inc.
IPC分类号： H04L29/08 , H04L67/50 , H04L41/5067 , H04L43/04 , G06F11/34 , H04L67/75 , H04L43/045
摘要： Techniques are described herein for determining an impact of slow performing webpages on a website. For example, a detection system may be provided to determine timing distributions for webpages by analyzing timing measurements for different timing metrics. The detection system may determine ranges of the timing distributions for slow and fast group of users of the website. The detection system may analyze user interactions of slow and fast group of users on the website. The detection system may further determine impacts of poor performing webpages on the website's performance based on the analysis of the user interactions on the webpages. The detection system may classify the impacts the webpages of the website and display the classifications to a website provider for identifying network operation(s) contributing to poor performance of the webpages.
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公开(公告)号：US20230401122A1
公开(公告)日：2023-12-14
申请号：US18237581
申请日：2023-08-24
申请人： Quantum Metric, Inc.
发明人： Mario Luciano Ciabarra, Jr. , Adam Dille , David Murphy , Mishig Davaadorj , Clara Richter , Daniel Keogh
IPC分类号： G06F11/07
CPC分类号： G06F11/079 , G06F11/0778 , G06F11/0757
摘要： Techniques are described herein for evaluating user activities on a website for detecting and alerting anomalies with the website. For example, an alerting system may determine a set of time-windows for each of a set of attribute value(s) and use a set of performance metrics and/or web session events for the time-windows from historical web sessions to detect an anomaly in a current time-window. The alerting system may determine an evaluation range based on weighted performance ranges, and alert a client indicating a performance anomaly if a performance metric at the time of evaluation are out of the evaluation range. Attribute value(s) related to a website issue can be identified based on a correlated to anomalous web session events or to an anomalous time-window.
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公开(公告)号：US20230252093A1
公开(公告)日：2023-08-10
申请号：US18165799
申请日：2023-02-07
申请人： Quantum Metric, Inc.
IPC分类号： G06F16/9532 , G06F16/9538
CPC分类号： G06F16/9532 , G06F16/9538
摘要： Techniques are described herein for selecting a template for efficient generation of dashboards for the template that derive insights into website performance. A client can provide search criteria, and, in response, the client can view and select a template that matches the context in which the client would like insights into the website data. The client can interact with the selected template to populate dashboards for the selected template. An identification of a metric can be detected for a placeholder field for a dashboard, and a specification of event type(s) to be used in populating the metric can be obtained. The dashboard can be loaded in memory, and user session data can be processed to detect events in the user session data. Metrics can be generated in the dashboard using the events in the user session data. The metric in the dashboard can be displayed at the client device.
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公开(公告)号：US20220353345A1
公开(公告)日：2022-11-03
申请号：US17747902
申请日：2022-05-18
申请人： Quantum Metric, Inc.
IPC分类号： H04L67/50 , H04L41/5067 , H04L43/04 , G06F11/34 , H04L43/045 , H04L67/75
摘要： Techniques are described herein for determining an impact of slow performing webpages on a website. For example, a detection system may be provided to determine timing distributions for webpages by analyzing timing measurements for different timing metrics. The detection system may determine ranges of the timing distributions for slow and fast group of users of the website. The detection system may analyze user interactions of slow and fast group of users on the website. The detection system may further determine impacts of poor performing webpages on the website's performance based on the analysis of the user interactions on the webpages. The detection system may classify the impacts the webpages of the website and display the classifications to a website provider for identifying network operation(s) contributing to poor performance of the webpages.
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公开(公告)号：US20240333811A1
公开(公告)日：2024-10-03
申请号：US18740286
申请日：2024-06-11
申请人： Quantum Metric, Inc.
IPC分类号： H04L67/50 , G06F11/34 , H04L41/5067 , H04L43/04 , H04L43/045 , H04L67/75
CPC分类号： H04L67/535 , G06F11/3476 , H04L41/5067 , H04L43/04 , H04L43/045 , H04L67/75
摘要： Techniques are described herein for determining an impact of slow performing webpages on a website. For example, a detection system may be provided to determine timing distributions for webpages by analyzing timing measurements for different timing metrics. The detection system may determine ranges of the timing distributions for slow and fast group of users of the website. The detection system may analyze user interactions of slow and fast group of users on the website. The detection system may further determine impacts of poor performing webpages on the website's performance based on the analysis of the user interactions on the webpages. The detection system may classify the impacts the webpages of the website and display the classifications to a website provider for identifying network operation(s) contributing to poor performance of the webpages.
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公开(公告)号：US12041142B2
公开(公告)日：2024-07-16
申请号：US18236294
申请日：2023-08-21
申请人： Quantum Metric, Inc.
IPC分类号： H04L67/50 , G06F11/34 , H04L41/5067 , H04L43/04 , H04L43/045 , H04L67/75
CPC分类号： H04L67/535 , G06F11/3476 , H04L41/5067 , H04L43/04 , H04L43/045 , H04L67/75
摘要： Techniques are described herein for determining an impact of slow performing webpages on a website. For example, a detection system may be provided to determine timing distributions for webpages by analyzing timing measurements for different timing metrics. The detection system may determine ranges of the timing distributions for slow and fast group of users of the website. The detection system may analyze user interactions of slow and fast group of users on the website. The detection system may further determine impacts of poor performing webpages on the website's performance based on the analysis of the user interactions on the webpages. The detection system may classify the impacts the webpages of the website and display the classifications to a website provider for identifying network operation(s) contributing to poor performance of the webpages.
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公开(公告)号：US20240231995A1
公开(公告)日：2024-07-11
申请号：US18615646
申请日：2024-03-25
申请人： Quantum Metric, Inc.
IPC分类号： G06F11/07
CPC分类号： G06F11/079 , G06F11/0709 , G06F11/0793
摘要： The present embodiments relate to proactive learning of network software problems. In an embodiment, a method includes receiving, by a detection system, webpage data from a computer system. The computer system can receive the webpage data from a plurality of client devices. The webpage data can be associated with user identifiers identifying each client device of the plurality of client devices. The detection system can then receive assistance data from a user assistance computer. The user assistance computer can receive the assistance data from a plurality of user devices. The assistance data can be associated with user identifiers identifying each user device of the plurality of user devices. The detection system can label the webpage data based on the assistance data including matching user identifiers and then determine at least a pattern based on the labeled webpage data.
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公开(公告)号：US11785106B2
公开(公告)日：2023-10-10
申请号：US17747902
申请日：2022-05-18
申请人： Quantum Metric, Inc.
IPC分类号： H04L67/50 , H04L41/5067 , H04L43/04 , G06F11/34 , H04L43/045 , H04L67/75
CPC分类号： H04L67/535 , G06F11/3476 , H04L41/5067 , H04L43/04 , H04L43/045 , H04L67/75
摘要： Techniques are described herein for determining an impact of slow performing webpages on a website. For example, a detection system may be provided to determine timing distributions for webpages by analyzing timing measurements for different timing metrics. The detection system may determine ranges of the timing distributions for slow and fast group of users of the website. The detection system may analyze user interactions of slow and fast group of users on the website. The detection system may further determine impacts of poor performing webpages on the website's performance based on the analysis of the user interactions on the webpages. The detection system may classify the impacts the webpages of the website and display the classifications to a website provider for identifying network operation(s) contributing to poor performance of the webpages.
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公开(公告)号：US11698827B2
公开(公告)日：2023-07-11
申请号：US17180400
申请日：2021-02-19
申请人： Quantum Metric, Inc.
IPC分类号： G06F11/07
CPC分类号： G06F11/079 , G06F11/0709 , G06F11/0793
摘要： The present embodiments relate to proactive learning of network software problems. In an embodiment, a method includes receiving, by a detection system, webpage data from a computer system. The computer system can receive the webpage data from a plurality of client devices. The webpage data can be associated with user identifiers identifying each client device of the plurality of client devices. The detection system can then receive assistance data from a user assistance computer. The user assistance computer can receive the assistance data from a plurality of user devices. The assistance data can be associated with user identifiers identifying each user device of the plurality of user devices. The detection system can label the webpage data based on the assistance data including matching user identifiers and then determine at least a pattern based on the labeled webpage data.
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公开(公告)号：US20220131769A1
公开(公告)日：2022-04-28
申请号：US17079311
申请日：2020-10-23
申请人： Quantum Metric, Inc.
IPC分类号： H04L12/24 , H04L12/26 , G06F16/958
摘要： Techniques are described herein for determining an impact of slow performing webpages on a website. For example, a detection system may be provided to determine timing distributions for webpages by analyzing timing measurements for different timing metrics. The detection system may determine ranges of the timing distributions for slow and fast group of users of the website. The detection system may analyze user interactions of slow and fast group of users on the website. The detection system may further determine impacts of poor performing webpages on the website's performance based on the analysis of the user interactions on the webpages. The detection system may classify the impacts the webpages of the website and display the classifications to a website provider for identifying network operation(s) contributing to poor performance of the webpages.
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