The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 18, 2021

Filed:

Nov. 30, 2017
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Gio Borje, Sunnyvale, CA (US);

Benjamin John McCann, Mountain View, CA (US);

David DiCato, San Francisco, CA (US);

Jerry Lin, San Jose, CA (US);

Skylar Payne, Sunnyvale, CA (US);

Apoorv Khandelwal, Santa Clara, CA (US);

Nadeem Anjum, Santa Clara, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/16 (2006.01); G06N 20/00 (2019.01); G06Q 10/06 (2012.01); G06F 17/15 (2006.01); G06Q 10/10 (2012.01); G06K 9/00 (2006.01); G06F 17/18 (2006.01); G06N 20/10 (2019.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 17/16 (2013.01); G06F 17/18 (2013.01); G06K 9/00 (2013.01); G06N 20/10 (2019.01); G06Q 10/1053 (2013.01);
Abstract

Systems and methods for predicting feature values in a matrix are disclosed. In example embodiments, a server accesses a matrix, the matrix having multiple dimensions, one dimension of the matrix representing features, and one dimension of the matrix representing entities. The server separates the matrix into multiple submatrices along a first dimension, each submatrix including all cells in the matrix for a set of values in the first dimension. The server provides the multiple submatrices to multiple machines. The server computes, using each machine, a correlation between values in at least one second dimension of the matrix and a value for a preselected feature in the matrix, the correlation being used to predict the value for the preselected feature based on other values along the at least one second dimension. The server provides an output representing the computed correlation.


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