Patents by Inventor Alexey Poyarkov

Alexey Poyarkov 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).

  • DETERMINATION OF RELATIONSHIPS BETWEEN COLLECTIONS OF DISPARATE MEDIA TYPES
    Publication number: 20180081992
    Abstract: Architecture that automatically determines relationships between vector spaces of disparate media types, and outputs ranker signals based on these relationships, all in a single process. The architecture improves search result relevance by simultaneously clustering queries and documents, and enables the training of a model for creating one or more ranker signals using simultaneous clustering of queries and documents in their respective spaces.
    Type: Application
    Filed: November 30, 2017
    Publication date: March 22, 2018
    Inventors: Mikhail Parakhin, Dmitry Korolev, Alexey Poyarkov
  • Determination of relationships between collections of disparate media types
    Patent number: 9864817
    Abstract: Architecture that automatically determines relationships between vector spaces of disparate media types, and outputs ranker signals based on these relationships, all in a single process. The architecture improves search result relevance by simultaneously clustering queries and documents, and enables the training of a model for creating one or more ranker signals using simultaneous clustering of queries and documents in their respective spaces.
    Type: Grant
    Filed: January 28, 2012
    Date of Patent: January 9, 2018
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Mikhail Parakhin, Dmitry Korolev, Alexey Poyarkov
  • DETERMINATION OF RELATIONSHIPS BETWEEN COLLECTIONS OF DISPARATE MEDIA TYPES
    Publication number: 20130198186
    Abstract: Architecture that automatically determines relationships between vector spaces of disparate media types, and outputs ranker signals based on these relationships, all in a single process. The architecture improves search result relevance by simultaneously clustering queries and documents, and enables the training of a model for creating one or more ranker signals using simultaneous clustering of queries and documents in their respective spaces.
    Type: Application
    Filed: January 28, 2012
    Publication date: August 1, 2013
    Applicant: MICROSOFT CORPORATION
    Inventors: Mikhail Parakhin, Dmitry Korolev, Alexey Poyarkov