Determining audience segments of users that contributed to a metric anomaly

    公开(公告)号:US11646947B2

    公开(公告)日:2023-05-09

    申请号:US17200329

    申请日:2021-03-12

    申请人: Adobe Inc.

    CPC分类号: H04L41/142 G06N5/045 G06N5/01

    摘要: The present disclosure is directed toward systems and methods for identifying contributing audience segments associated with a metric anomaly. One or more embodiments described herein identify contributing factors based on statistical analysis and machine learning. Additionally, one or more embodiments identify audience segments associated with each contributing factor. In one or more embodiments, the systems and methods provide an interactive display that enables a user to select a particular anomaly for further analysis. The interactive display also provides additional interfaces through which the user can view informational displays that illustrate the factors and segments that caused the particular anomaly and how those factors correlate with each other.

    DETERMINING AUDIENCE SEGMENTS OF USERS THAT CONTRIBUTED TO A METRIC ANOMALY

    公开(公告)号:US20210203563A1

    公开(公告)日:2021-07-01

    申请号:US17200329

    申请日:2021-03-12

    申请人: Adobe Inc.

    IPC分类号: H04L12/24 G06N5/04

    摘要: The present disclosure is directed toward systems and methods for identifying contributing audience segments associated with a metric anomaly. One or more embodiments described herein identify contributing factors based on statistical analysis and machine learning. Additionally, one or more embodiments identify audience segments associated with each contributing factor. In one or more embodiments, the systems and methods provide an interactive display that enables a user to select a particular anomaly for further analysis. The interactive display also provides additional interfaces through which the user can view informational displays that illustrate the factors and segments that caused the particular anomaly and how those factors correlate with each other.

    Identifying factors that contribute to a metric anomaly

    公开(公告)号:US10972332B2

    公开(公告)日:2021-04-06

    申请号:US14841293

    申请日:2015-08-31

    申请人: Adobe Inc.

    IPC分类号: H04L12/24 G06N5/04 G06N5/00

    摘要: The present disclosure is directed toward systems and methods for identifying contributing factors associated with a metric anomaly. One or more embodiments described herein identify contributing factors based on statistical analysis and machine learning. Additionally, one or more embodiments identify sub-factors associated with each contributing factor. In one or more embodiments, the systems and methods provide an interactive display that enables a user to select a particular anomaly for further analysis. The interactive display also provides additional interfaces through which the user can view informational displays that illustrate the factors that caused the particular anomaly and how those factors correlate with each other.

    IDENTIFYING CONTRIBUTING FACTORS TO A METRIC ANOMALY

    公开(公告)号:US20210194751A1

    公开(公告)日:2021-06-24

    申请号:US17192687

    申请日:2021-03-04

    申请人: Adobe Inc.

    IPC分类号: H04L12/24 G06N5/04

    摘要: The present disclosure is directed toward systems and methods for identifying contributing factors associated with a metric anomaly. One or more embodiments described herein identify contributing factors based on statistical analysis and machine learning. Additionally, one or more embodiments identify sub-factors associated with each contributing factor. In one or more embodiments, the systems and methods provide an interactive display that enables a user to select a particular anomaly for further analysis. The interactive display also provides additional interfaces through which the user can view informational displays that illustrate the factors that caused the particular anomaly and how those factors correlate with each other.

    Identifying audiences that contribute to metric anomalies

    公开(公告)号:US10985993B2

    公开(公告)日:2021-04-20

    申请号:US14855655

    申请日:2015-09-16

    申请人: Adobe Inc.

    IPC分类号: H04L12/24 G06N5/04 G06N5/00

    摘要: The present disclosure is directed toward systems and methods for identifying contributing audience segments associated with a metric anomaly. One or more embodiments described herein identify contributing factors based on statistical analysis and machine learning. Additionally, one or more embodiments identify audience segments associated with each contributing factor. In one or more embodiments, the systems and methods provide an interactive display that enables a user to select a particular anomaly for further analysis. The interactive display also provides additional interfaces through which the user can view informational displays that illustrate the factors and segments that caused the particular anomaly and how those factors correlate with each other.