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公开(公告)号：US11646947B2
公开(公告)日：2023-05-09
申请号：US17200329
申请日：2021-03-12
Applicant: Adobe Inc.
Inventor： William Brandon George , James Meyer , John Bates
CPC classification number: H04L41/142 , G06N5/045 , G06N5/01
Abstract: 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.
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公开(公告)号：US20210203563A1
公开(公告)日：2021-07-01
申请号：US17200329
申请日：2021-03-12
Applicant: Adobe Inc.
Inventor： William Brandon George , James Meyer , John Bates
Abstract: 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.
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公开(公告)号：US10972332B2
公开(公告)日：2021-04-06
申请号：US14841293
申请日：2015-08-31
Applicant: Adobe Inc.
Inventor： John Bates , James Meyer , William Brandon George
Abstract: 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.
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公开(公告)号：US11756058B2
公开(公告)日：2023-09-12
申请号：US17091569
申请日：2020-11-06
Applicant: ADOBE INC.
Inventor： Ritwik Sinha , Fan Du , Sunav Choudhary , Sanket Mehta , Harvineet Singh , Said Kobeissi , William Brandon George , Chris Challis , Prithvi Bhutani , John Bates , Ivan Andrus
IPC: G06Q30/00 , G06Q30/0201 , G06F17/18 , G06F16/904
CPC classification number: G06Q30/0201 , G06F16/904 , G06F17/18
Abstract: Determination of high value customer journey sequences is performed by determining customer interactions that are most frequent as length N=1 sub-sequences, recursively determining most frequent length N+1 sub-sequences that start with the length N sub-sequences, determining a first count indicating how often one of the sub-sequences appears in the sequences, determining a second count indicating how often the one sub-sequence resulted in the goal, and using the counts to determine the most or least effective sub-sequences for achieving the goal.
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Patent Agency Ranking
公开(公告)号：US10855783B2
公开(公告)日：2020-12-01
申请号：US15412580
申请日：2017-01-23
Applicant: Adobe Inc.
Inventor： William Brandon George , Nathan Purser , Joseph Ward , Kristopher Paries , John Bates
Abstract: In some embodiments, a real-time and interactive preview of alerts is provided in a user interface. A computer system parses a set of rules that specifies an alert definition. Each rule identifies a set of observations and an alert trigger criterion based on user input in the user interface. For a rule, the computer system accesses historical data corresponding to the set of observations identified by the rule and determines, based on an analysis of the historical data, time points that trigger alerts over a time period according to the rule. The analysis is based on the alert trigger criterion identified by the rule. The computer system aggregates, based on the alert definition, the time points determined for the rule with time points determined for another rule from the set of rules. Further, the computer system generates an alert preview over the time period for presentation at the user interface.
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公开(公告)号：US12184475B2
公开(公告)日：2024-12-31
申请号：US17192687
申请日：2021-03-04
Applicant: Adobe Inc.
Inventor： John Bates , James Meyer , William Brandon George
IPC: H04L41/06 , G06N5/045 , H04L41/0631 , H04L41/142 , G06N5/01 , H04L41/5009
Abstract: 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.
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公开(公告)号：US20220148013A1
公开(公告)日：2022-05-12
申请号：US17091569
申请日：2020-11-06
Applicant: ADOBE INC.
Inventor： RITWIK SINHA , Fan Du , Sunav Choudhary , Sanket Mehta , Harvineet Singh , Said Kobeissi , William Brandon George , Chris Challis , Prithvi Bhutani , John Bates , Ivan Andrus
IPC: G06Q30/02 , G06F16/904 , G06F17/18
Abstract: Determination of high value customer journey sequences is performed by determining customer interactions that are most frequent as length N=1 sub-sequences, recursively determining most frequent length N+1 sub-sequences that start with the length N sub-sequences, determining a first count indicating how often one of the sub-sequences appears in the sequences, determining a second count indicating how often the one sub-sequence resulted in the goal, and using the counts to determine the most or least effective sub-sequences for achieving the goal.
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公开(公告)号：US20210194751A1
公开(公告)日：2021-06-24
申请号：US17192687
申请日：2021-03-04
Applicant: Adobe Inc.
Inventor： John Bates , James Meyer , William Brandon George
Abstract: 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.
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公开(公告)号：US10985993B2
公开(公告)日：2021-04-20
申请号：US14855655
申请日：2015-09-16
Applicant: Adobe Inc.
Inventor： William Brandon George , James Meyer , John Bates
Abstract: 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.
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