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

Planning1.00
Machine learning1.00
Knowledge representation0.85
AI hardware0.82
Natural language0.13
Vision0.00
Speech0.00
Evolutionary computation0.00

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.

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