Patents by Inventor Simon Thoresen HULT

Simon Thoresen HULT 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: 20240037674
    Abstract: A method for detecting and exposing user communication preferences within a communication application includes accessing a user profile datastore to retrieve an inferred communication preference from each of a plurality of user profiles. The method further includes storing, within each of a plurality of contact cards of a communication application, the inferred communication preference downloaded from a corresponding one of the plurality of user profiles in the user profile datastore; detecting, via a user interface of the communication application, a user interaction with a user interface element associated with a select one of the contact cards; and responsive to detecting the user interaction, presenting, on the user interface of the communication application, the inferred communication preference stored within in the select one of the contact cards.
    Type: Application
    Filed: August 1, 2022
    Publication date: February 1, 2024
    Inventors: Lars BRENNA, Jan Heier JOHANSEN, Paul Meyer LEVLIN, Ksenja KUSMIN, Simon Thoresen HULT, Malgorzata PARUCH
  • Patent number: 11709878
    Abstract: Examples described herein generally relate to a computer system for generating a knowledge graph storing a plurality of entities and to displaying a topic page for an entity in the knowledge graph. The computer system performs a mining of source documents within an enterprise intranet to determine a plurality of entity names. The computer system generates an entity record within the knowledge graph for a mined entity name based on an entity schema and the source documents. The entity record includes attributes aggregated from the source documents. The computer system receives a curation action on the entity record from a first user. The computer system updates the entity record based on the curation action. The computer system displays an entity page including at least a portion of the attributes to a second user based on permissions of the second user to view the source documents.
    Type: Grant
    Filed: October 14, 2019
    Date of Patent: July 25, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Dmitriy Meyerzon, Jeffrey Wight, Andrei Razvan Popov, Andrei-Alin Corodescu, Omar Faruk, Jan-Ove Karlberg, Åge Andre Kvalnes, Helge Grenager Solheim, Thuy Duong, Simon Thoresen Hult, Ivan Korostelev, Matteo Venanzi, John Guiver, John Michael Winn, Vladimir V. Gvozdev, Nikita Voronkov, Chia-Jiun Tan, Alexander Armin Spengler
  • Publication number: 20210110278
    Abstract: Examples described herein generally relate to a computer system for generating a knowledge graph storing a plurality of entities and to displaying a topic page for an entity in the knowledge graph. The computer system performs a mining of source documents within an enterprise intranet to determine a plurality of entity names. The computer system generates an entity record within the knowledge graph for a mined entity name based on an entity schema and the source documents. The entity record includes attributes aggregated from the source documents. The computer system receives a curation action on the entity record from a first user. The computer system updates the entity record based on the curation action. The computer system displays an entity page including at least a portion of the attributes to a second user based on permissions of the second user to view the source documents.
    Type: Application
    Filed: October 14, 2019
    Publication date: April 15, 2021
    Inventors: Dmitriy MEYERZON, Jeffrey WIGHT, Andrei Razvan POPOV, Andrei-Alin CORODESCU, Omar FARUK, Jan-Ove KARLBERG, Åge Andre KVALNES, Helge Grenager SOLHEIM, Thuy DUONG, Simon Thoresen HULT, Ivan KOROSTELEV, Matteo VENANZI, John GUIVER, John Michael WINN, Vladimir V. GVOZDEV, Nikita VORONKOV, Chia-Jiun TAN, Alexander Armin SPENGLER