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:
Jul. 12, 2016

Filed:

Mar. 28, 2013
Applicant:

Wal-mart Stores, Inc., Bentonville, AR (US);

Inventors:

Nikesh Lucky Garera, Mountain View, CA (US);

Narasimhan Rampalli, Los Altos, CA (US);

Dintyala Venkata Subrahmanya Ravikant, San Bruno, CA (US);

Srikanth Subramaniam, San Jose, CA (US);

Chong Sun, Redwood City, CA (US);

Heather Dawn Yalin, Alameda, CA (US);

Assignee:

Wal-Mart Stores, Inc., Bentonville, AR (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 99/00 (2010.01); G06Q 10/10 (2012.01); G06Q 50/00 (2012.01); G06F 17/30 (2006.01);
U.S. Cl.
CPC ...
G06N 99/005 (2013.01); G06F 17/30707 (2013.01); G06Q 10/101 (2013.01); G06Q 50/01 (2013.01);
Abstract

Systems and methods are disclosed herein for classifying records, such as product records, using a machine learning algorithm. After training a classification model according to a machine learning algorithm using an initial training set, records are classified and high confidence classifications identified. Remaining classifications are submitted to a crowdsourcing forum that validates or invalidates the classifications or marks them as to unclear to evaluate. Invalidated classifications are automatically analyzed to identify one or both of classification values and categories having a high proportion of invalidated classifications. Requests are transmitted to analysts to generate training data that is added to the training set. The process of classifying records and obtaining crowdsourced validation thereof may then repeat.


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