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公开(公告)号：US11501331B2
公开(公告)日：2022-11-15
申请号：US17119239
申请日：2020-12-11
Applicant: ADOBE INC.
Inventor： Kevin Gary Smith , John Bevil Bates , Xuejun Xu , Shriram Venkatesh Shet Revankar
Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed to a proof and attestation service that can confirm the veracity of a claim or a statement of truth based on data dynamically-retrieved from various data repositories. A server device receives, from a client device, a request to determine the veracity of a claim or a statement of truth. The server device is generally a trusted computing device, having privileged-access to a variety of data repositories that the client device may or may not access. The server device can select one or more data repositories based on the claim, obtain results data from the selected one or more data repositories, and evaluate each result to determine whether it corresponds to or contradicts the claim. A veracity score can be calculated for the claim or for a result that corresponds to or contradicts the claim. The server device can generate an attestation notification that includes the claim or the result for communication to the requesting client device. In this way, the client device can utilize the proof and attestation service, facilitated via the server device, to determine a claim's veracity or its calculated likelihood of being true.
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公开(公告)号：US20220019412A1
公开(公告)日：2022-01-20
申请号：US17490748
申请日：2021-09-30
Applicant: Adobe Inc.
Inventor： Thomas William Randall Jacobs , Peter Raymond Fransen , Kevin Gary Smith , Kent Andrew Edmonds , Jen-Chan Jeff Chien , Gavin Stuart Peter Miller
Abstract: Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improved accuracy and efficiency of use of computational resources over conventional techniques and systems. The machine learning module, for instance, may be embedded as part of an application to execute within a context of the application to learn user preferences to train a model using machine learning. This model is then used within the context of execution of the application to personalize the application, such as control access to digital content, make recommendations, control which items of digital marketing content are exposed to a user via the application, and so on.
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43.发明授权公开(公告)号：US10944706B2
公开(公告)日：2021-03-09
申请号：US16419259
申请日：2019-05-22
Applicant: Adobe Inc.
Inventor： William Brandon George , Kevin Gary Smith
Abstract: This disclosure relates to dynamic determination of data-transmission characteristics based on historical data accesses. For example, some embodiments include accessing a content stream having (i) a first content item and a second content item to be provided to one or more user devices associated with a user and (ii) a trigger condition for providing the second content item. In addition, some embodiments include detecting that the first content item has been consumed at the one or more user devices through a first communication channel and, further, determining that the trigger condition has been met. A machine-learning model inputs action data to determine a second communication channel from among two or more available communication channels. In some cases, the second content item is triggered to be delivered via the second communication channel, responsive to the first content item being consumed and the trigger condition being met.
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44.发明授权公开(公告)号：US10911553B2
公开(公告)日：2021-02-02
申请号：US15965596
申请日：2018-04-27
Applicant: Adobe Inc.
Inventor： William Brandon George , Kevin Gary Smith
Abstract: Various embodiments describe techniques for dynamically customizing structured interactive content for a particular user within a session of an interactive computing environment. Machine-learning techniques are used to establish a behavioral class of each individual user based on user interactions with a diagnostic set of interactive content items during the session. The identified behavioral class is used to customize interactive content presented later during the session using various machine-learning techniques. In some embodiments, the user progress during the session is determined based on user interactions with the customized interactive content, and a content customization is performed if the user progress is below a threshold value.
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45.发明申请公开(公告)号：US20200374183A1
公开(公告)日：2020-11-26
申请号：US16416536
申请日：2019-05-20
Applicant: Adobe Inc.
Inventor： William Brandon George , Kevin Gary Smith
IPC: H04L12/24 , G06F3/0484 , G06N20/00 , G06N7/00
Abstract: 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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Patent Agency Ranking
公开(公告)号：US20200265463A1
公开(公告)日：2020-08-20
申请号：US16867321
申请日：2020-05-05
Applicant: Adobe Inc.
Inventor： Oliver Isaac Goldman , Thomas William Randall Jacobs , Kent Andrew Edmonds , Kevin Gary Smith , Pradeep Saikalyanachakravarthi Javangula , Ashley Manning Still
IPC: G06Q30/02
Abstract: Techniques and systems are described for analyzing components of digital content. A computing device of an analytics system receives user interaction data that describes an effect of user interaction with a plurality of items of digital content on achieving an action. The analytics system identifies which of a plurality of components are included in respective items of digital content. The analytics system then generates outcome data describing a likely effect of the plurality of components on achieving the action based on association with respective items of digital content. Additionally, the analytics system generates a recommendation to configure a subsequent item of digital content based on the outcome data. The recommendation is based on the likely effect of the different ones of the plurality of components, to generate more effective digital content.
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47.发明授权公开(公告)号：US10685375B2
公开(公告)日：2020-06-16
申请号：US15782457
申请日：2017-10-12
Applicant: Adobe Inc.
Inventor： Oliver Isaac Goldman , Thomas William Randall Jacobs , Kent Andrew Edmonds , Kevin Gary Smith , Pradeep Saikalyanachakravarthi Javangula , Ashley Manning Still
IPC: G06Q30/02
Abstract: Techniques and systems are described for analyzing components of digital marketing content as part of a digital marketing campaign. A computing device of an analytics system receives user interaction data that describes an effect of user interaction with a plurality of items of digital marketing content on achieving an action. The analytics system identifies which of a plurality of components are included in respective items of digital marketing content. The analytics system then generates outcome data describing a likely effect of the plurality of components on achieving the action based on association with respective items of digital marketing content. Additionally, the analytics system generates a recommendation to configure a subsequent item of digital marketing content based on the outcome data. The recommendation is based on the likely effect of the different ones of the plurality of components, to generate more effective digital marketing content items for digital marketing campaigns.
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48.发明申请公开(公告)号：US20190335006A1
公开(公告)日：2019-10-31
申请号：US15965596
申请日：2018-04-27
Applicant: Adobe Inc.
Inventor： William Brandon George , Kevin Gary Smith
Abstract: Various embodiments describe techniques for dynamically customizing structured interactive content for a particular user within a session of an interactive computing environment. Machine-learning techniques are used to establish a behavioral class of each individual user based on user interactions with a diagnostic set of interactive content items during the session. The identified behavioral class is used to customize interactive content presented later during the session using various machine-learning techniques. In some embodiments, the user progress during the session is determined based on user interactions with the customized interactive content, and a content customization is performed if the user progress is below a threshold value.
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公开(公告)号：US10223573B2
公开(公告)日：2019-03-05
申请号：US15377029
申请日：2016-12-13
Applicant: Adobe Inc.
Inventor： William Brandon George , Kevin Gary Smith
Abstract: A virtual reality device is configured to generate realistic images, sounds and other sensations that replicate a real or imagined environment for a user. As a first user interacts with the device, first user interaction data representing interactions between the first user and the device during a first user visit are recorded. A first unique visitor fingerprint is generated based on the first user interaction data. As a second user interacts with the device, second user interaction data representing interactions between the second user and the device during a second user visit that is different from the first user visit are recorded. A second unique visitor fingerprint is generated based on the second user interaction data. The first and second unique visitor fingerprints are compared to determine whether the second user is the same as the first user. Based on the determination, one or more functions can be performed.
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公开(公告)号：US12271983B2
公开(公告)日：2025-04-08
申请号：US17809494
申请日：2022-06-28
Applicant: Adobe Inc.
Inventor： Zhifei Zhang , Zhe Lin , Scott Cohen , Kevin Gary Smith
IPC: G06T11/60 , G06F3/0482 , G06F16/532 , G06T11/20
Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that implements related image search and image modification processes using various search engines and a consolidated graphical user interface. For instance, in one or more embodiments, the disclosed systems receive an input digital image and search input and further modify the input digital image using the image search results retrieved in response to the search input. In some cases, the search input includes a multi-modal search input having multiple queries (e.g., an image query and a text query), and the disclosed systems retrieve the image search results utilizing a weighted combination of the queries. In some implementations, the disclosed systems generate an input embedding for the search input (e.g., the multi-modal search input) and retrieve the image search results using the input embedding.
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