Patents by Inventor Andrei Stefan

Andrei Stefan 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).

  • Generating and utilizing a digital knowledge graph to provide contextual recommendations in digital content editing applications
    Patent number: 11645095
    Abstract: This disclosure describes methods, non-transitory computer readable storage media, and systems that generate a digital knowledge graph based on a plurality of tutorial content items to generate recommendations of digital resource items. Specifically, the disclosed system extracts a plurality of tasks, subject categories related to the tasks, and context signals related to an environment for the tasks from a plurality of tutorial content items for one or more digital content editing applications. The disclosed system generates a digital knowledge graph including nodes corresponding to the tasks and subject categories connected via edges based on relationships extracted from the tutorial content items. In some embodiments, the disclosed system also includes nodes corresponding to digital resource items in the digital knowledge graph or in a subgraph. The disclosed system utilizes the digital knowledge graph with context data to provide a recommendation of digital resource items for display at a client device.
    Type: Grant
    Filed: September 14, 2021
    Date of Patent: May 9, 2023
    Assignee: Adobe Inc.
    Inventors: Jayant Kumar, Manasi Deshmukh, Ming Liu, Ashok Gupta, Karthik Suresh, Chirag Arora, Jing Zheng, Ravindra Sadaphule, Vipul Dalal, Andrei Stefan
  • GENERATING AND UTILIZING A DIGITAL KNOWLEDGE GRAPH TO PROVIDE CONTEXTUAL RECOMMENDATIONS IN DIGITAL CONTENT EDITING APPLICATIONS
    Publication number: 20230080407
    Abstract: This disclosure describes methods, non-transitory computer readable storage media, and systems that generate a digital knowledge graph based on a plurality of tutorial content items to generate recommendations of digital resource items. Specifically, the disclosed system extracts a plurality of tasks, subject categories related to the tasks, and context signals related to an environment for the tasks from a plurality of tutorial content items for one or more digital content editing applications. The disclosed system generates a digital knowledge graph including nodes corresponding to the tasks and subject categories connected via edges based on relationships extracted from the tutorial content items. In some embodiments, the disclosed system also includes nodes corresponding to digital resource items in the digital knowledge graph or in a subgraph. The disclosed system utilizes the digital knowledge graph with context data to provide a recommendation of digital resource items for display at a client device.
    Type: Application
    Filed: September 14, 2021
    Publication date: March 16, 2023
    Inventors: Jayant Kumar, Manasi Deshmukh, Ming Liu, Ashok Gupta, Karthik Suresh, Chirag Arora, Jing Zheng, Ravindra Sadaphule, Vipul Dalal, Andrei Stefan