Patents by Inventor Peter Raymond Fransen

Peter Raymond Fransen 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: 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
  • Patent number: 11036786
    Abstract: In implementations of determining user segmentation based on a photo library, a device maintains digital images in the photo library, as well as metadata associated with the digital images. The device includes a segmentation module implemented to determine characteristics about a user of the device by analysis of the metadata of the digital images. The segmentation module can determine a segmentation based on the characteristics determined about the user. The segmentation includes one or more segments that each represent a generalized aspect of the user, where a generalized aspect is attributable to multiple people and anonymity of the user is maintained. The segmentation module can associate an anonymous identifier with the segmentation effective to maintain the anonymity of the user and privacy of the metadata. The segmentation and the anonymous identifier can then be communicated to a marketing system that generates personalized marketing messages based on the segmentation.
    Type: Grant
    Filed: February 15, 2019
    Date of Patent: June 15, 2021
    Assignee: Adobe Inc.
    Inventors: Peter Raymond Fransen, Tara V. Anand, Sarah Marie Garcia
  • 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
  • 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: 20200265080
    Abstract: In implementations of determining user segmentation based on a photo library, a device maintains digital images in the photo library, as well as metadata associated with the digital images. The device includes a segmentation module implemented to determine characteristics about a user of the device by analysis of the metadata of the digital images. The segmentation module can determine a segmentation based on the characteristics determined about the user. The segmentation includes one or more segments that each represent a generalized aspect of the user, where a generalized aspect is attributable to multiple people and anonymity of the user is maintained. The segmentation module can associate an anonymous identifier with the segmentation effective to maintain the anonymity of the user and privacy of the metadata. The segmentation and the anonymous identifier can then be communicated to a marketing system that generates personalized marketing messages based on the segmentation.
    Type: Application
    Filed: February 15, 2019
    Publication date: August 20, 2020
    Applicant: Adobe Inc.
    Inventors: Peter Raymond Fransen, Tara V. Anand, Sarah Marie Garcia
  • Patent number: 10631050
    Abstract: Certain embodiments involve determining visual context associated with user behavior and associating the visual context with the user behavior. For example, a system captures a portion of a user interface provided to a user at a time of a user action on the user interface. The captured portion can include digital content and the system can detect the digital content. The system can also generate a digital representation of the digital content. The digital representation can indicate the digital and exclude the digital content. The system can determine a visual context associated with the user action based on the generated digital representation. The visual context describes the digital content displayed via the user interface at the time of the user action. The system can also determine subsequent digital content to output to the user to create a subsequent visual context to encourage a particular user behavior.
    Type: Grant
    Filed: November 13, 2017
    Date of Patent: April 21, 2020
    Assignee: Adobe Inc.
    Inventors: Peter Raymond Fransen, Aaron Motayne
  • Publication number: 20190324778
    Abstract: Methods and systems are provided for providing help regarding an in-app issue with an application using a contextual help system. Help can be provided automatically based on an analysis of in-app events leading up to the indication for help with the in-app issue. Automatic help can be provided in the form of help content determined to be likely to resolve the in-app issue. When no help content is determined to be likely to resolve the issue, the in-app events can be converted into a human-readable form and sent to a live help desk for use in resolving the issue. In this way, in-app issues can be resolved based on evaluations of the in-app event leading up the occurrence of the issue.
    Type: Application
    Filed: April 18, 2018
    Publication date: October 24, 2019
    Inventors: SUDEEP RANJAN BHOWMICK, PETER RAYMOND FRANSEN
  • Patent number: 10423970
    Abstract: In an example embodiment, user interactions with a software component may be tracked in an efficient manner. Specifically, an analytics tracking request triggered by user interaction with a software component is received. Then a value assigned to the user is retrieved. It is then determined if the value assigned to the user exceeds a value threshold assigned to the analytics tracking request. Based on a comparison between the value assigned to the user and the threshold value, an analytics tracking function associated with the analytics tracking request is launched.
    Type: Grant
    Filed: August 26, 2013
    Date of Patent: September 24, 2019
    Assignee: Adobe Inc.
    Inventor: Peter Raymond Fransen
  • Patent number: 10324621
    Abstract: Facilitating analysis of user interface gesture patterns is described. In example implementations, a computing device acquires data that describes a user interface gesture pattern, such as finger movements on a touchscreen, in terms of pixels of a visual display. A repetitive arrangement of polygons, such as a grid of rectangles, is logically overlaid on the visual display. The computing device transforms the pixel-based data into polygon-based data that represents the gesture pattern in terms of polygons traversed by the gesture pattern. The computing device also converts the polygon-based data into text-based data such that the gesture pattern is represented by textual characters, such as a text string. The text string can include, for instance, a list of polygons traversed by the gesture pattern. The text-based data is forwarded to a service that can efficiently analyze relationships that may exist among multiple gesture patterns across multiple devices or end users.
    Type: Grant
    Filed: March 2, 2017
    Date of Patent: June 18, 2019
    Assignee: Adobe Inc.
    Inventors: Peter Raymond Fransen, Christine Xuan Phan
  • Publication number: 20190149878
    Abstract: Certain embodiments involve determining visual context associated with user behavior and associating the visual context with the user behavior. For example, a system captures a portion of a user interface provided to a user at a time of a user action on the user interface. The captured portion can include digital content and the system can detect the digital content. The system can also generate a digital representation of the digital content. The digital representation can indicate the digital and exclude the digital content. The system can determine a visual context associated with the user action based on the generated digital representation. The visual context describes the digital content displayed via the user interface at the time of the user action. The system can also determine subsequent digital content to output to the user to create a subsequent visual context to encourage a particular user behavior.
    Type: Application
    Filed: November 13, 2017
    Publication date: May 16, 2019
    Inventors: Peter Raymond Fransen, Aaron Motayne
  • 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: 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: 20190095949
    Abstract: Techniques and system are described to control output of digital marketing content with respect to digital content. This is achieved by leveraging additional insight that may be gained from external service systems that describe the digital content, e.g., social network systems, digital content review systems, and so forth. In one example, the techniques and systems are configured to collect social network data that describes social network communications communicated via a social network system. Natural language processing techniques are then performed as part of machine learning to detect interest of a user population associated with the social network communications.
    Type: Application
    Filed: September 26, 2017
    Publication date: March 28, 2019
    Applicant: Adobe Systems Incorporated
    Inventors: Jen-Chan Jeff Chien, Thomas William Randall Jacobs, Kent Andrew Edmonds, Kevin Gary Smith, Peter Raymond Fransen
  • Patent number: 10133751
    Abstract: Facilitating location-aware analysis is described. In some embodiments, a database building module is configured to build a point of interest (POI) database based on a tree data structure that includes multiple nodes respectively corresponding to multiple areas. The database building module includes a content node processing module that inserts an entry in the POI database having a content field populated by a POI descriptor included with a content node. The database building module also includes a reference node processing module that inserts an entry having multiple reference fields respectively populated with area indicators corresponding to multiple subnodes of a reference node. In other embodiments, a POI database search module is configured to search a POI database to ascertain multiple POIs with regard to a location of a computing device. The search module searches key fields of reference entries and content entries using an area indicator matching the computing device's location.
    Type: Grant
    Filed: July 22, 2016
    Date of Patent: November 20, 2018
    Assignee: Adobe Systems Incorporated
    Inventor: Peter Raymond Fransen
  • Publication number: 20180253224
    Abstract: Facilitating analysis of user interface gesture patterns is described. In example implementations, a computing device acquires data that describes a user interface gesture pattern, such as finger movements on a touchscreen, in terms of pixels of a visual display. A repetitive arrangement of polygons, such as a grid of rectangles, is logically overlaid on the visual display. The computing device transforms the pixel-based data into polygon-based data that represents the gesture pattern in terms of polygons traversed by the gesture pattern. The computing device also converts the polygon-based data into text-based data such that the gesture pattern is represented by textual characters, such as a text string. The text string can include, for instance, a list of polygons traversed by the gesture pattern. The text-based data is forwarded to a service that can efficiently analyze relationships that may exist among multiple gesture patterns across multiple devices or end users.
    Type: Application
    Filed: March 2, 2017
    Publication date: September 6, 2018
    Applicant: Adobe Systems Incorporated
    Inventors: Peter Raymond Fransen, Christine Xuan Phan
  • Publication number: 20180234796
    Abstract: A digital medium environment is described to control provision of digital content within a physical environment to a mobile device associated with a user. User identification data and position data are received. The position data describes a physical location at which the mobile device is disposed within the physical environment. A user profile is selected based on the user identification data. The user profile describes user online interaction with digital content. Digital content is generated that is personalized based on the selected user profile and the position data. Output is then controlled of the generated digital content to the mobile device.
    Type: Application
    Filed: February 10, 2017
    Publication date: August 16, 2018
    Applicant: Adobe Systems Incorporated
    Inventors: Manaswi Saha, Thomas William Randall Jacobs, David M. Tompkins, Peter Raymond Fransen
  • Patent number: 10044687
    Abstract: Techniques allow owners of Internet of Things (IoT) devices to provide specific access to data from their IoT devices to requesters of data. A request for data from an IoT device is received from a requester, and the request is provided to the owner of the IoT device. An indication of acceptance by the owner is provided for the request. A public key of a public/private key pair associated with the accepted requester is received. A plurality of datapoints from the IoT device is also received. At least one datapoint of the plurality of datapoints is encrypted with the public key of the requester. The encrypted at least one datapoint is then sent to the requester, where the requester can decrypt the encrypted at least one datapoint using the private key of the public/private key pair.
    Type: Grant
    Filed: July 10, 2017
    Date of Patent: August 7, 2018
    Assignee: Adobe Systems Incorporated
    Inventor: Peter Raymond Fransen
  • Publication number: 20180211281
    Abstract: Techniques and systems are described in which an image similarity determination of paths is used to control digital content output. In one example, a plurality of coordinates is received that represent a plurality of physical locations within a physical environment. A digital image is then generated having a path that describes the plurality of coordinates. The path of the generated digital image is compared to a plurality of reference paths described by respective ones of a plurality of reference digital images, e.g., through image similarity. An item of digital content is selected based at least in part on the comparison. Output is then controlled of the selected item of the digital content.
    Type: Application
    Filed: January 26, 2017
    Publication date: July 26, 2018
    Applicant: Adobe Systems Incorporated
    Inventors: Peter Raymond Fransen, Christine Xuan Phan
  • Publication number: 20180059898
    Abstract: Techniques and systems are described to implement a platform to create and disseminate virtual user experiences. In one example, a service provider exposes a platform usable for creation of virtual user experiences. In another example, a service provider exposes functionality to enable specification of physical environment conditions to be met in order to cause dissemination of respective virtual user experiences maintained by the service provider. In one instance, triggers are detected by a computing device of a user that are indicative of a likelihood to cause output of a virtual user experience. Once triggered, the computing device communicates data describing physical environment conditions to the service provider. The service provider then matches these conditions to specified physical environment conditions that are to be used to control dissemination of the virtual user experience.
    Type: Application
    Filed: August 24, 2016
    Publication date: March 1, 2018
    Applicant: Adobe Systems Incorporated
    Inventors: Gavin Stuart Peter Miller, Nadia Rehman-Murphy, Cory Lynn Edwards, Peter Raymond Fransen