Patents by Inventor Alexander Gorohovski

Alexander Gorohovski 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: 11710053
    Abstract: A technique includes modifying a first record based on a plurality of training records to provide a plurality of modified records. The plurality of training records are associated with a regression model, and a target outcome is associated with the first record. The technique includes applying the regression model to the plurality of modified records to provide outcomes for the modified records; and selecting a group of the modified records based at least in part on the outcomes for the modified records. The technique includes providing a recommendation for the first record to change an outcome predicted for the first record by the regression model based at least part on the target outcome and the outcomes for the modified records.
    Type: Grant
    Filed: January 29, 2016
    Date of Patent: July 25, 2023
    Inventor: Alexander Gorohovski
  • Patent number: 11222047
    Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that, upon identifying a set of distribution contacts, generate clusters of distribution contacts from a sampled subset of distribution contacts and assign remaining distribution contacts from the set to the generated clusters for visualization in a user interface. By clustering a representative sample of such distribution contacts, the disclosed methods, non-transitory computer readable media, and systems can quickly analyze and identify contact characteristics in clusters of distribution contacts, including common contact characteristics exhibited by a given cluster's contacts. The disclosed methods, non-transitory computer readable media, and systems can accordingly respond to user requests for a cluster analysis by expeditiously generating cluster visualizations identifying contact characteristics of clustered distribution contacts.
    Type: Grant
    Filed: January 31, 2019
    Date of Patent: January 11, 2022
    Assignee: ADOBE INC.
    Inventors: Yali Pollak, Alexander Gorohovski, Yana Segal, David Myers, Andrey Nikitin
  • Publication number: 20200110764
    Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that, upon identifying a set of distribution contacts, generate clusters of distribution contacts from a sampled subset of distribution contacts and assign remaining distribution contacts from the set to the generated clusters for visualization in a user interface. By clustering a representative sample of such distribution contacts, the disclosed methods, non-transitory computer readable media, and systems can quickly analyze and identify contact characteristics in clusters of distribution contacts, including common contact characteristics exhibited by a given cluster's contacts. The disclosed methods, non-transitory computer readable media, and systems can accordingly respond to user requests for a cluster analysis by expeditiously generating cluster visualizations identifying contact characteristics of clustered distribution contacts.
    Type: Application
    Filed: January 31, 2019
    Publication date: April 9, 2020
    Inventors: Yali Pollak, Alexander Gorohovski, Yana Segal, David Myers, Andrey Nikitin
  • Publication number: 20190026636
    Abstract: A technique includes modifying a first record based on a plurality of training records to provide a plurality of modified records. The plurality of training records are associated with a regression model, and a target outcome is associated with the first record. The technique includes applying the regression model to the plurality of modified records to provide outcomes for the modified records; and selecting a group of the modified records based at least in part on the outcomes for the modified records. The technique includes providing a recommendation for the first record to change an outcome predicted for the first record by the regression model based at least part on the target outcome and the outcomes for the modified records.
    Type: Application
    Filed: January 29, 2016
    Publication date: January 24, 2019
    Inventor: Alexander Gorohovski