Patents by Inventor Kevin Gary Smith

Kevin Gary Smith has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230013199
    Abstract: Techniques and systems are described to enable users to optimize a digital marketing content system by analyzing an effect of components of digital marketing content on audience segments, environments of consumption, and channels of consumption. A computing device of an analytics system receives user interaction data describing an effect of user interaction with multiple items of digital marketing content on achieving an action for multiple audience segments. The analytics system identifies which of a plurality of components are included in respective items of digital marketing content. The analytics system generates data identifying different aspects that likely had an effect on the achieving an action on the items of digital marketing content, such as components of the items of digital marketing content, environments of consumption, channels of consumption. The analytics system outputs a result based on the data in a user interface.
    Type: Application
    Filed: September 21, 2022
    Publication date: January 19, 2023
    Applicant: Adobe Inc.
    Inventors: Oliver Isaac Goldman, Thomas William Randall Jacobs, Kent Andrew Edmonds, Kevin Gary Smith, Pradeep Saikalyanachakravarthi Javangula, Ashley Manning Still
  • Patent number: 11551257
    Abstract: Techniques and systems are described to enable users to optimize a digital marketing content system by analyzing an effect of components of digital marketing content on audience segments, environments of consumption, and channels of consumption. A computing device of an analytics system receives user interaction data describing an effect of user interaction with multiple items of digital marketing content on achieving an action for multiple audience segments. The analytics system identifies which of a plurality of components are included in respective items of digital marketing content. The analytics system generates data identifying different aspects that likely had an effect on the achieving an action on the items of digital marketing content, such as components of the items of digital marketing content, environments of consumption, channels of consumption. The analytics system outputs a result based on the data in a user interface.
    Type: Grant
    Filed: October 12, 2017
    Date of Patent: January 10, 2023
    Assignee: Adobe Inc.
    Inventors: Oliver Isaac Goldman, Thomas William Randall Jacobs, Kent Andrew Edmonds, Kevin Gary Smith, Pradeep Saikalyanachakravarthi Javangula, Ashley Manning Still
  • Patent number: 11544743
    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.
    Type: Grant
    Filed: October 16, 2017
    Date of Patent: January 3, 2023
    Assignee: Adobe Inc.
    Inventors: Thomas William Randall Jacobs, Peter Raymond Fransen, Kevin Gary Smith, Kent Andrew Edmonds, Jen-Chan Jeff Chien, Gavin Stuart Peter Miller
  • Publication number: 20220413881
    Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods that intelligently sense digital user context across client devices applications utilizing a dynamic sensor graph framework and then utilize a persistent context store to generate flexible digital recommendations across digital applications. In one or more embodiments, the disclosed systems utilize triggers to select and activate one or more sensor graphs. These sensor graphs can include software sensors arranged according to an architecture of dependencies and subject to various constraints. The underlying architecture of dependencies and constraints in each sensor graph allows the disclosed systems to avoid race-conditions in persisting actionable user-context based signals, verify the validity of sensor output through the sensor graph, generate user-context based recommendations across multiple related applications, and accommodate a specific latency/refresh rate of context values.
    Type: Application
    Filed: August 31, 2022
    Publication date: December 29, 2022
    Inventors: Oliver Brdiczka, Robert Alley, Kyoung Tak Kim, Kevin Gary Smith, Aliakbar Darabi
  • Patent number: 11501331
    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.
    Type: Grant
    Filed: December 11, 2020
    Date of Patent: November 15, 2022
    Assignee: Adobe Inc.
    Inventors: Kevin Gary Smith, John Bevil Bates, Xuejun Xu, Shriram Venkatesh Shet Revankar
  • Patent number: 11467857
    Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods that intelligently sense digital user context across client devices applications utilizing a dynamic sensor graph framework and then utilize a persistent context store to generate flexible digital recommendations across digital applications. In one or more embodiments, the disclosed systems utilize triggers to select and activate one or more sensor graphs. These sensor graphs can include software sensors arranged according to an architecture of dependencies and subject to various constraints. The underlying architecture of dependencies and constraints in each sensor graph allows the disclosed systems to avoid race-conditions in persisting actionable user-context based signals, verify the validity of sensor output through the sensor graph, generate user-context based recommendations across multiple related applications, and accommodate a specific latency/refresh rate of context values.
    Type: Grant
    Filed: October 13, 2020
    Date of Patent: October 11, 2022
    Assignee: Adobe Inc.
    Inventors: Oliver Brdiczka, Robert Alley, Kyoung Tak Kim, Kevin Gary Smith, Aliakbar Darabi
  • Patent number: 11373217
    Abstract: Techniques and system are described for a real time bid platform to control output of digital marketing content to a potential consumer. In an example, impression data is generated by a physical retail environment or mobile device of the potential consumer based on a determined location of a user within a physical retail environment. The impression data is used by a digital marketing system to expose bid opportunities to a plurality of advertiser systems via the real time bid platform. The advertiser systems then generate bids based on impression data described as part of the bid opportunity, and may also be based on additional information the advertiser systems have about the potential consumer obtained from third-party systems. The bids are then used as a basis to control output of digital marketing content to the potential consumer.
    Type: Grant
    Filed: November 9, 2017
    Date of Patent: June 28, 2022
    Assignee: Adobe Inc.
    Inventors: Cameron Chris Michaelson, Kevin Gary Smith, Natalee A. Villa
  • Publication number: 20220113996
    Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods that intelligently sense digital user context across client devices applications utilizing a dynamic sensor graph framework and then utilize a persistent context store to generate flexible digital recommendations across digital applications. In one or more embodiments, the disclosed systems utilize triggers to select and activate one or more sensor graphs. These sensor graphs can include software sensors arranged according to an architecture of dependencies and subject to various constraints. The underlying architecture of dependencies and constraints in each sensor graph allows the disclosed systems to avoid race-conditions in persisting actionable user-context based signals, verify the validity of sensor output through the sensor graph, generate user-context based recommendations across multiple related applications, and accommodate a specific latency/refresh rate of context values.
    Type: Application
    Filed: October 13, 2020
    Publication date: April 14, 2022
    Inventors: Oliver Brdiczka, Robert Alley, Kyoung Tak Kim, Kevin Gary Smith, Aliakbar Darabi
  • Patent number: 11243747
    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.
    Type: Grant
    Filed: August 31, 2020
    Date of Patent: February 8, 2022
    Assignee: Adobe Inc.
    Inventors: Thomas William Randall Jacobs, Peter Raymond Fransen, Kevin Gary Smith, Kent Andrew Edmonds, Jen-Chan Jeff Chien, Gavin Stuart Peter Miller
  • Publication number: 20220019412
    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.
    Type: Application
    Filed: September 30, 2021
    Publication date: January 20, 2022
    Applicant: Adobe Inc.
    Inventors: Thomas William Randall Jacobs, Peter Raymond Fransen, Kevin Gary Smith, Kent Andrew Edmonds, Jen-Chan Jeff Chien, Gavin Stuart Peter Miller
  • Publication number: 20210382607
    Abstract: 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.
    Type: Application
    Filed: June 9, 2020
    Publication date: December 9, 2021
    Applicant: Adobe Inc.
    Inventors: Kevin Gary Smith, William Brandon George, Vishwa Vinay, Iftikhar Ahamath Burhanuddin
  • Patent number: 11132349
    Abstract: An update basis for updating digital content in a digital medium environment is described. The digital content is updated by incorporating new digital content components from a service provider system, such as a stock content service, to keep the digital content from seeming stale to client device users. The service provider system controls provision of digital content components according to an update basis described in a component request. In part, component requests ask that the service provider system provide digital content components for incorporation with digital content. Component requests also describe a timing basis with which digital content components are to be provided as updates. By way of example, the timing basis may correspond to a time interval (e.g., daily, weekly, monthly, seasonally, times of day, and so on), receiving user input in relation to the digital content (e.g., a navigation input to a web page), and so forth.
    Type: Grant
    Filed: March 23, 2020
    Date of Patent: September 28, 2021
    Assignee: Adobe Inc.
    Inventors: Gavin Stuart Peter Miller, Kevin Gary Smith, Kent Andrew Edmonds, Govind P. Balakrishnan
  • Publication number: 20210200823
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating webpage design templates based on product information, audience information, and user experience information. For example, the disclosed systems can utilize an internet-based product catalog engine to determine actual product information such as product descriptions and reviews to include within a webpage design template during the design process. The disclosed systems can further generate personalization rules to modify the appearance of a product webpage to accommodate the preferences of different audiences. In addition, the disclosed systems can generate recommendations to modify various design elements based on product information, audience information, and user experience information. Further, the disclosed systems can publish a webpage design template as a product storefront webpage accessible to end users.
    Type: Application
    Filed: March 12, 2021
    Publication date: July 1, 2021
    Inventors: William Brandon George, Kevin Gary Smith
  • Patent number: 11048690
    Abstract: In various embodiments, a request may be received identifying items of information and an entity requesting the items. A set of entities may be determined It may be determined, for a response to the request, that collectively has access to a set of values that captures each of the items requested by the entity. A transaction of a transaction block may be created on a blockchain maintained at least in part by one or more nodes of a distributed ledger system. The transaction may be digitally signed and identify the set of entities, and contribution scores of the values to the set of values. Each contribution score for a given value of an item being based on a level of scarcity of the item and a level of usage of the item. The blockchain may identify a scoring algorithm used to determine the contribution scores.
    Type: Grant
    Filed: November 21, 2018
    Date of Patent: June 29, 2021
    Assignee: ADOBE INC.
    Inventors: Kevin Gary Smith, John Bevil Bates
  • Publication number: 20210133803
    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.
    Type: Application
    Filed: December 11, 2020
    Publication date: May 6, 2021
    Inventors: Kevin Gary Smith, John Bevil Bates, Xuejun Xu, Shriram Venkatesh Shet Revankar
  • Patent number: 10991012
    Abstract: Creative brief-based content creation is described. A service provider system, such as a creative service provider system, supports the creation of digital content in connection with digital content creation projects. Initially, the service provider system defines a schema as a set of rules for controlling configuration of creative briefs to register digital content creation projects. The service provider system provides service to support digital content creation based on the data included in the creative briefs. For instance, the service provider system provides service by leveraging the descriptive data configured according to the set of rules defined by the schema, which specify particular attributes that are to be instantiated to describe digital content creation projects.
    Type: Grant
    Filed: November 1, 2017
    Date of Patent: April 27, 2021
    Assignee: Adobe Inc.
    Inventors: Govind P. Balakrishnan, Pradeep Saikalyanachakravarthi Javangula, Oliver Isaac Goldman, Kevin Gary Smith, Ashley Manning Still
  • Patent number: 10984069
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating webpage design templates based on product information, audience information, and user experience information. For example, the disclosed systems can utilize an internet-based product catalog engine to determine actual product information such as product descriptions and reviews to include within a webpage design template during the design process. The disclosed systems can further generate personalization rules to modify the appearance of a product webpage to accommodate the preferences of different audiences. In addition, the disclosed systems can generate recommendations to modify various design elements based on product information, audience information, and user experience information. Further, the disclosed systems can publish a webpage design template as a product storefront webpage accessible to end users.
    Type: Grant
    Filed: January 23, 2019
    Date of Patent: April 20, 2021
    Assignee: ADOBE INC.
    Inventors: William Brandon George, Kevin Gary Smith
  • Patent number: 10984410
    Abstract: In various embodiments, a request is received for a claim that is responsive to an interrogatory, where the interrogatory uses values of items of interest regarding a subject user to produce the claim. Based on the request, it is determined that one or more permissions, included in one or more digitally signed transactions of one or more transaction blocks on one or more copies of a blockchain maintained at least in part by nodes of a distributed ledger system, represents the subject user granting a receiving entity with a right to receive claims that are responsive to interrogatories that use the values to produce the claims. Based on the determining, the receiving entity is granted access to the claim.
    Type: Grant
    Filed: November 15, 2018
    Date of Patent: April 20, 2021
    Assignee: ADOBE INC.
    Inventors: Kevin Gary Smith, John Bevil Bates
  • Patent number: 10956932
    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.
    Type: Grant
    Filed: October 18, 2018
    Date of Patent: March 23, 2021
    Assignee: ADOBE INC.
    Inventors: Kevin Gary Smith, John Bevil Bates, Xuejun Xu, Shriram Venkatesh Shet Revankar
  • Patent number: 10943257
    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.
    Type: Grant
    Filed: May 5, 2020
    Date of Patent: March 9, 2021
    Assignee: Adobe Inc.
    Inventors: Oliver Isaac Goldman, Thomas William Randall Jacobs, Kent Andrew Edmonds, Kevin Gary Smith, Pradeep Saikalyanachakravarthi Javangula, Ashley Manning Still