Patents by Inventor Kent Andrew Edmonds

Kent Andrew Edmonds 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).

  • Patent number: 11030236
    Abstract: Systems and methods for searching digital content, such as digital images, are disclosed. A method includes receiving a first search constraint and generating search results based on the first search constraint. A search constraint includes search values or criteria. The search results include a ranked set of digital images. A second search constraint and a weight value associated with the second search constraint are received. The search results are updated based on the second search constraint and the weight value. The updated search results are provided to a user. Updating the search results includes determining a ranking (or a re-ranking) for each item of content included in the search results based on the first search constraint, the second search constraint, and the weight value. Re-ranking the search results may further be based on a weight value associated with the first search constraint, such as a default or maximum weight value.
    Type: Grant
    Filed: November 28, 2017
    Date of Patent: June 8, 2021
    Assignee: Adobe Inc.
    Inventors: Samarth Gulati, Brett Butterfield, Baldo Faieta, Bernard James Kerr, Kent Andrew Edmonds
  • 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
  • Publication number: 20200401380
    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: August 31, 2020
    Publication date: December 24, 2020
    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: 20200334290
    Abstract: A method includes detecting control of an active content creation tool of an interactive computing system in response to a user input received at a user interface of the interactive computing system. The method also includes automatically updating a video search query based on the detected control of the active content creation tool to include context information about the active content creation tool. Further, the method includes performing a video search of video captions from a video database using the video search query and providing search results of the video search to the user interface of the interactive computing system.
    Type: Application
    Filed: April 19, 2019
    Publication date: October 22, 2020
    Inventors: Lubomira Dontcheva, Kent Andrew Edmonds, Cristin Fraser, Scott Klemmer
  • Patent number: 10795647
    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: October 6, 2020
    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: 20200265463
    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: Application
    Filed: May 5, 2020
    Publication date: August 20, 2020
    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: 10733262
    Abstract: Attribute control 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 based on fixed and variable attributes specified for these digital content components. Initially, the service provider system receives a component request, requesting that the service provider system provide the digital content components for incorporation with the digital content. The component request specifies fixed and variable content attributes for the provided digital content components. A fixed content attribute is an attribute that is to be included in the provided digital content components.
    Type: Grant
    Filed: October 5, 2017
    Date of Patent: August 4, 2020
    Assignee: Adobe Inc.
    Inventors: Gavin Stuart Peter Miller, Kevin Gary Smith, Kent Andrew Edmonds, Govind P. Balakrishnan
  • Publication number: 20200218709
    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: Application
    Filed: March 23, 2020
    Publication date: July 9, 2020
    Applicant: Adobe Inc.
    Inventors: Gavin Stuart Peter Miller, Kevin Gary Smith, Kent Andrew Edmonds, Govind P. Balakrishnan
  • Patent number: 10685375
    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.
    Type: Grant
    Filed: October 12, 2017
    Date of Patent: June 16, 2020
    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: 10657118
    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: October 5, 2017
    Date of Patent: May 19, 2020
    Assignee: Adobe Inc.
    Inventors: Gavin Stuart Peter Miller, Kevin Gary Smith, Kent Andrew Edmonds, Govind P. Balakrishnan
  • Publication number: 20190295004
    Abstract: Systems and methods provide a recommendation system for recommending sequential content. The training of a reinforcement learning (RL) agent is bootstrapped from passive data. The RL agent of the sequential recommendations system is trained using the passive data over a number of epochs involving interactions between the sequential recommendation system and user devices. At each epoch, available active data from previous epochs is obtained, and transition probabilities are generated from the passive data and at least one parameter derived from the currently available active data. Recommended content is selected based on a current state and the generated transition probabilities, and the active data is updated from the current epoch based on the recommended content and a resulting new state. A clustering approach can also be employed when deriving parameters from active data to balance model expressiveness and data sparsity.
    Type: Application
    Filed: March 23, 2018
    Publication date: September 26, 2019
    Inventors: Sorathan Chaturapruek, Georgios Theocharous, Kent Andrew Edmonds
  • Publication number: 20190163766
    Abstract: Systems and methods for searching digital content, such as digital images, are disclosed. A method includes receiving a first search constraint and generating search results based on the first search constraint. A search constraint includes search values or criteria. The search results include a ranked set of digital images. A second search constraint and a weight value associated with the second search constraint are received. The search results are updated based on the second search constraint and the weight value. The updated search results are provided to a user. Updating the search results includes determining a ranking (or a re-ranking) for each item of content included in the search results based on the first search constraint, the second search constraint, and the weight value. Re-ranking the search results may further be based on a weight value associated with the first search constraint, such as a default or maximum weight value.
    Type: Application
    Filed: November 28, 2017
    Publication date: May 30, 2019
    Inventors: Samarth Gulati, Brett Butterfield, Baldo Faieta, Bernard James Kerr, Kent Andrew Edmonds
  • Publication number: 20190163768
    Abstract: Systems and methods for searching digital content are disclosed. A method includes receiving, from a user, a base search constraint. A search constraint includes search values or criteria. A recall set is generated based on the base search constraint. Recommended search constraints are determined and provided to the user. The recommended search constraints are statistically associated with the base search constraint. The method receives, from the user, a selection of a first search constraint included in the plurality of recommend search constraints. The method generates and provides search results to the user that include a re-ordering of the recall set. The re-ordering is based on a search constraint set that includes both the base search constraint and the selected first search constraint. The re-ordering is further based on a weight associated with the base search constraint and another user-provided weight associated with the first search constraint.
    Type: Application
    Filed: November 28, 2017
    Publication date: May 30, 2019
    Inventors: Samarth Gulati, Brett Michael Butterfield, Baldo Faieta, Kent Andrew Edmonds
  • Publication number: 20190114680
    Abstract: Techniques and system are described to control output of digital marketing content with respect to a digital video that address the added complexities of digital video over other types of digital content, such as webpages. In one example, the techniques and systems are configured to control a time, at which, digital marketing content is to be output with respect to the digital video, e.g., by selecting a commercial break or output as a banner ad in conjunction with the video.
    Type: Application
    Filed: October 13, 2017
    Publication date: April 18, 2019
    Applicant: Adobe Systems Incorporated
    Inventors: Jen-Chan Jeff Chien, Thomas William Randall Jacobs, Kent Andrew Edmonds, Kevin Gary Smith, Peter Raymond Fransen, Gavin Stuart Peter Miller, Ashley Manning Still
  • Publication number: 20190114151
    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: October 16, 2017
    Publication date: April 18, 2019
    Applicant: Adobe Systems Incorporated
    Inventors: Thomas William Randall Jacobs, Peter Raymond Fransen, Kevin Gary Smith, Kent Andrew Edmonds, Jen-Chan Jeff Chien, Gavin Stuart Peter Miller
  • Publication number: 20190114664
    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: October 12, 2017
    Publication date: April 18, 2019
    Applicant: Adobe Systems Incorporated
    Inventors: Oliver Isaac Goldman, Thomas William Randall Jacobs, Kent Andrew Edmonds, Kevin Gary Smith, Pradeep Saikalyanachakravarthi Javangula, Ashley Manning Still
  • Publication number: 20190114672
    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: October 16, 2017
    Publication date: April 18, 2019
    Applicant: Adobe Systems Incorporated
    Inventors: Thomas William Randall Jacobs, Peter Raymond Fransen, Kevin Gary Smith, Kent Andrew Edmonds, Jen-Chan Jeff Chien, Gavin Stuart Peter Miller
  • Publication number: 20190114663
    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.
    Type: Application
    Filed: October 12, 2017
    Publication date: April 18, 2019
    Applicant: Adobe Systems Incorporated
    Inventors: Oliver Isaac Goldman, Thomas William Randall Jacobs, Kent Andrew Edmonds, Kevin Gary Smith, Pradeep Saikalyanachakravarthi Javangula, Ashley Manning Still
  • Publication number: 20190108288
    Abstract: Attribute control 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 based on fixed and variable attributes specified for these digital content components. Initially, the service provider system receives a component request, requesting that the service provider system provide the digital content components for incorporation with the digital content. The component request specifies fixed and variable content attributes for the provided digital content components. A fixed content attribute is an attribute that is to be included in the provided digital content components.
    Type: Application
    Filed: October 5, 2017
    Publication date: April 11, 2019
    Applicant: Adobe Systems Incorporated
    Inventors: Gavin Stuart Peter Miller, Kevin Gary Smith, Kent Andrew Edmonds, Govind P. Balakrishnan
  • Publication number: 20190108250
    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: Application
    Filed: October 5, 2017
    Publication date: April 11, 2019
    Applicant: Adobe Systems Incorporated
    Inventors: Gavin Stuart Peter Miller, Kevin Gary Smith, Kent Andrew Edmonds, Govind P. Balakrishnan