Efficient and fault-tolerant distributed algorithm for learning latent factor models through matrix factorization

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United States of America Patent

PATENT NO 9535938
APP PUB NO 20140310281A1
SERIAL NO

14123259

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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.

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Patent Owner(s)

  • EXCALIBUR IP, LLC

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Bornikov, Edward Haifa, IL 1 21
Golbandi, Nadav Haifa, IL 27 775
Lempel, Ronny Zichron Yaakov, IL 40 1317
Rokhlenko, Oleg Haifa, IL 17 169
Somekh, Oren Shlomo Bet-Yehoshua, IL 20 110

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