Patents by Inventor Edward Bornikov

Edward Bornikov 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).

  • Efficient and fault-tolerant distributed algorithm for learning latent factor models through matrix factorization
    Patent number: 9535938
    Abstract: A method for estimating model parameters. The method comprises receiving a data set related to a plurality of users and associated content, partitioning the data set into a plurality of sub data sets in accordance with the users so that data associated with each user are not partitioned into more than one sub data set, storing each of the sub data sets in a separate one of a plurality of user data storages, each of said data storages being coupled with a separate one of a plurality of estimators, storing content associated with the plurality of users in a content storage, where the content storage is coupled to the plurality of estimators so that the content in the content storage is shared by the estimators, and estimating, asynchronously by each estimator, one or more parameters associated with a model based on data from one of the sub data sets.
    Type: Grant
    Filed: March 15, 2013
    Date of Patent: January 3, 2017
    Assignee: EXCALIBUR IP, LLC
    Inventors: Oren Shlomo Somekh, Edward Bornikov, Nadav Golbandi, Oleg Rokhlenko, Ronny Lempel
  • EFFICIENT AND FAULT-TOLERANT DISTRIBUTED ALGORITHM FOR LEARNING LATENT FACTOR MODELS THROUGH MATRIX FACTORIZATION
    Publication number: 20140310281
    Abstract: A method for estimating model parameters. The method comprises receiving a data set related to a plurality of users and associated content, partitioning the data set into a plurality of sub data sets in accordance with the users so that data associated with each user are not partitioned into more than one sub data set, storing each of the sub data sets in a separate one of a plurality of user data storages, each of said data storages being coupled with a separate one of a plurality of estimators, storing content associated with the plurality of users in a content storage, where the content storage is coupled to the plurality of estimators so that the content in the content storage is shared by the estimators, and estimating, asynchronously by each estimator, one or more parameters associated with a model based on data from one of the sub data sets.
    Type: Application
    Filed: March 15, 2013
    Publication date: October 16, 2014
    Inventors: Oren Shlomo Somekh, Edward Bornikov, Nadav Golbandi, Oleg Rokhlenko, Ronny Lempel