Patents by Inventor Victor Anchidin

Victor Anchidin 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: 11238211
    Abstract: A system may use a machine-learned model to determine whether to classify a sequence of one or more words within a first document that is being edited as a candidate hyperlink based at least in part on context associated with the first document. In response to classifying the sequence of one or more words as the candidate hyperlink, the system may use the machine-learned model and based at least in part on the sequence of one or more words and the context to determine one or more candidate document to be hyperlinked from the sequence of one or more words. In response to receiving an indication of a second document being selected out of the one or more candidate documents, the system may modify the first document to associate the sequence of one or more words with a hyperlink to the second document.
    Type: Grant
    Filed: March 14, 2019
    Date of Patent: February 1, 2022
    Assignee: Google LLC
    Inventors: Jan van de Kerkhof, Balint Miklos, Amr Abdelfattah, Tobias Kaufmann, László Lukacs, Bjarke Ebert, Victor Anchidin, Brian Strope, Heeyoung Lee, Yun-hsuan Sung, Noah Constant, Neil Smith
  • Publication number: 20210174020
    Abstract: An example method includes receiving, by a computing system, an identification of a recipient of an electronic message being composed from a message account associated with a user; predicting, by the computing system and based on text contained in previous electronic messages sent from the message account, text for a body of the electronic message; and outputting, for display, the predicted text for optional selection and insertion into the body of the electronic message.
    Type: Application
    Filed: May 6, 2019
    Publication date: June 10, 2021
    Inventors: Timothy Youngjin Sohn, Bogdan Prisacari, Paul Roland Lambert, Victor Anchidin, Balint Miklos, Julia Proskurnia, Bryan Kenneth Rea, Thijs Van As, Matthew Vincent Dierker, Jacqueline Amy Tsay
  • Publication number: 20200410157
    Abstract: A system may use a machine-learned model to determine whether to classify a sequence of one or more words within a first document that is being edited as a candidate hyperlink based at least in part on context associated with the first document. In response to classifying the sequence of one or more words as the candidate hyperlink, the system may use the machine-learned model and based at least in part on the sequence of one or more words and the context to determine one or more candidate document to be hyperlinked from the sequence of one or more words. In response to receiving an indication of a second document being selected out of the one or more candidate documents, the system may modify the first document to associate the sequence of one or more words with a hyperlink to the second document.
    Type: Application
    Filed: March 14, 2019
    Publication date: December 31, 2020
    Inventors: Jan van de Kerkhof, Balint Miklos, Amr Abdelfattah, Tobias Kaufmann, László Lukács, Bjarke Ebert, Victor Anchidin, Brian Strope, Heeyoung Lee, Yun-hsuan Sung, Noah Constant, Neil Smith