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:
Oct. 03, 2017

Filed:

Apr. 21, 2016
Applicant:

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

Inventors:

Patrice Y. Simard, Bellevue, WA (US);

David Max Chickering, Bellevue, WA (US);

David G. Grangier, Kirkland, WA (US);

Denis X. Charles, Bellevue, WA (US);

Leon Bottou, Kirkland, WA (US);

Carlos Garcia Jurado Suarez, Redmond, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/27 (2006.01); H04L 1/00 (2006.01); G06N 99/00 (2010.01); G06N 7/00 (2006.01); G06F 3/0482 (2013.01); G06F 17/30 (2006.01);
U.S. Cl.
CPC ...
G06F 17/2735 (2013.01); G06F 3/0482 (2013.01); G06F 17/2785 (2013.01); G06F 17/30864 (2013.01); G06N 7/005 (2013.01); G06N 99/005 (2013.01); H04L 1/0079 (2013.01); H04L 1/0072 (2013.01);
Abstract

A collection of data that is extremely large can be difficult to search and/or analyze. Relevance may be dramatically improved by automatically classifying queries and web pages in useful categories, and using these classification scores as relevance features. A thorough approach may require building a large number of classifiers, corresponding to the various types of information, activities, and products. Creation of classifiers and schematizers is provided on large data sets. Exercising the classifiers and schematizers on hundreds of millions of items may expose value that is inherent to the data by adding usable meta-data. Some aspects include active labeling exploration, automatic regularization and cold start, scaling with the number of items and the number of classifiers, active featuring, and segmentation and schematization.


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