EFFICIENT AND FAULT-TOLERANT DISTRIBUTED ALGORITHM FOR LEARNING LATENT FACTOR MODELS THROUGH MATRIX FACTORIZATION
Patent №
US 9,535,938
Granted
2017-01-03
Filed 2013
Owner
YAHOO! INC.
+1 more
Lab
—
AI components
4
ml · kr · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
14123259
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.
AI classification
Ownership
YAHOO! INC.
assignment · 316970188
EXCALIBUR IP, LLC
assignment · 389500592
Assignors
SOMEKH, OREN SHLOMO, BORNIKOV, EDWARD, GOLBANDI, NADAV, ROKHLENKO, OLEG, LEMPEL, RONNY
On an employer assignment, the assignors are typically the inventors.