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公开(公告)号：US11989242B2
公开(公告)日：2024-05-21
申请号：US17653092
申请日：2022-03-01
申请人： Adobe Inc.
IPC分类号： G06F16/9535 , H04L67/02 , H04L67/50
CPC分类号： G06F16/9535 , H04L67/02 , H04L67/535
摘要： This disclosure generally covers systems and methods that create sequential segments from analytics data to enable investigation of events that occurred before or after a certain sequence of events—that is, pre-sequence or post-sequence events. In particular, certain embodiments of the disclosed systems and methods receive a segment query of certain analytics data to identify events that occurred before or after a defined sequence of events within a network and—in response to the segment query—provide a query result that identifies pre-sequence events or post-sequence events. By providing such query results, the disclosed systems and methods enable users to examine correlations between a sequence of events and any pre-sequence or post-sequence events, including any data associated with those events at a granular level.
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公开(公告)号：US11907508B1
公开(公告)日：2024-02-20
申请号：US18133725
申请日：2023-04-12
申请人： Adobe Inc.
发明人： Yaman Kumar , Somesh Singh , William Brandon George , Timothy Chia-chi Liu , Suman Basetty , Pranjal Prasoon , Nikaash Puri , Mihir Naware , Mihai Corlan , Joshua Marshall Butikofer , Abhinav Chauhan , Kumar Mrityunjay Singh , James Patrick O'Reilly , Hyman Chung , Lauren Dest , Clinton Hansen Goudie-Nice , Brandon John Pack , Balaji Krishnamurthy , Kunal Kumar Jain , Alexander Klimetschek , Matthew William Rozen
IPC分类号： G06F3/0484 , G06F18/2415 , G06V10/40 , G06V10/764 , G06F3/0482 , G06T11/20 , G06F40/166 , G06F40/151
CPC分类号： G06F3/0484 , G06F3/0482 , G06F18/2415 , G06F40/151 , G06F40/166 , G06T11/206 , G06V10/40 , G06V10/764 , G06T2200/24
摘要： Content creation techniques are described that leverage content analytics to provide insight and guidance as part of content creation. To do so, content features are extracted by a content analytics system from a plurality of content and used by the content analytics system as a basis to generate a content dataset. Event data is also collected by the content analytics system from an event data source. Event data describes user interaction with respective items of content, including subsequent activities in both online and physical environments. The event data is then used to generate an event dataset. An analytics user interface is then generated by the content analytics system using the content dataset and the event dataset and is usable to guide subsequent content creation and editing.
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公开(公告)号：US11811592B2
公开(公告)日：2023-11-07
申请号：US16416536
申请日：2019-05-20
申请人： Adobe Inc.
摘要： In some embodiments, a contact stream is generated or modified based on configuration data received from a machine-learning model. Multiple contact items are selected for a contact stream, to be delivered to a user device via electronic communication channels. In addition, a success metric is identified indicating an engagement with the contact stream or an action performed following the engagement. A machine-learning model is applied to the contact items, where the machine-learning model is trained to identify relationships among actions in an online environment and configuration parameters that control delivery of contact streams. The machine-learning model provides an output indicating configuration data or a success probability for the contact stream. The configuration data includes configuration parameter values computed by the machine-learning model for achieving the identified success metric. The success probability indicates a probability computed by the machine-learning model for achieving the identified success metric.
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公开(公告)号：US11630558B2
公开(公告)日：2023-04-18
申请号：US16896820
申请日：2020-06-09
申请人： Adobe Inc.
IPC分类号： G06F40/35 , G06F3/04842 , G06F40/30
摘要： In implementations of systems for generating sequential supporting answer reports, a computing device implements a report system to receive a user input defining a question with respect to a visual representation of analytics data rendered in a user interface. The report system determines a final answer to the question by processing a semantic representation of the question using a machine learning model. A sequence of reports is generated and the sequence defines an order of progression from a first supporting answer to the final answer. Each report of the sequence of reports includes a visual representation of a supporting answer to the question. The report system displays a dashboard in the user interface including a first report of the sequence of reports, the first report depicting a visual representation of the first supporting answer to the question.
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公开(公告)号：US20230116854A1
公开(公告)日：2023-04-13
申请号：US17450411
申请日：2021-10-08
申请人： ADOBE INC.
摘要： Systems and methods for software management are described. One or more embodiments of the present disclosure receive first organization data about a first organization that uses a first software system and second organization data about a second organization that uses a second software system; receive first event data from the first organization and second event data from the second organization; generate first converted event data and second converted event data by converting the first event data and the second event data to a common data format; predict organization output based on using the first software system and based on using the second software system; compute a first rating for the first software system and a second rating for the second software system for use in the third organization; and installing the first software system in a computer system of a third organization based on the first rating.
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公开(公告)号：US20220269741A1
公开(公告)日：2022-08-25
申请号：US17653092
申请日：2022-03-01
申请人： Adobe Inc.
IPC分类号： G06F16/9535 , H04L67/02 , H04L67/50
摘要： This disclosure generally covers systems and methods that create sequential segments from analytics data to enable investigation of events that occurred before or after a certain sequence of events—that is, pre-sequence or post-sequence events. In particular, certain embodiments of the disclosed systems and methods receive a segment query of certain analytics data to identify events that occurred before or after a defined sequence of events within a network and—in response to the segment query—provide a query result that identifies pre-sequence events or post-sequence events. By providing such query results, the disclosed systems and methods enable users to examine correlations between a sequence of events and any pre-sequence or post-sequence events, including any data associated with those events at a granular level.
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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
申请人： ADOBE INC.
发明人： RITWIK SINHA , Fan Du , Sunav Choudhary , Sanket Mehta , Harvineet Singh , Said Kobeissi , William Brandon George , Chris Challis , Prithvi Bhutani , John Bates , Ivan Andrus
IPC分类号： G06Q30/02 , G06F16/904 , G06F17/18
摘要： 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
申请人： Adobe Inc.
发明人： John Bates , James Meyer , William Brandon George
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.
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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
申请人： Adobe Inc.
发明人： William Brandon George , James Meyer , John Bates
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.
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公开(公告)号：US20190286911A1
公开(公告)日：2019-09-19
申请号：US15919769
申请日：2018-03-13
申请人： Adobe Inc.
摘要： Techniques are disclosed for identifying a video using a video signature generated using image features derived from a portion of the video. In some examples, a method may include determining image features derived from a portion of a video, determining a video frame sequence of the video, and generating the video signature of the video based on the image features and the video frame sequence. The method may further include deriving a curve for the video based on the image features and the video frame sequence, and comparing the derived curve with one or more curves corresponding to respective one or more reference videos.
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