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:
Jun. 19, 2018

Filed:

Oct. 30, 2015
Applicant:

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

Inventors:

Songtao Guo, Cupertino, CA (US);

Christopher Matthew Degiere, Palo Alto, CA (US);

Jingjing Huang, Santa Clara, CA (US);

Aarti Kumar, San Carlos, CA (US);

Alex Ching Lai, Menlo Park, CA (US);

Xian Li, San Jose, CA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06N 99/00 (2010.01); G06F 17/30 (2006.01); G06Q 10/10 (2012.01); G06F 17/27 (2006.01); G06K 9/62 (2006.01); G06N 7/02 (2006.01); G06Q 10/06 (2012.01); G06Q 50/00 (2012.01); H04L 29/08 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00456 (2013.01); G06F 17/30256 (2013.01); G06F 17/30259 (2013.01); G06F 17/30265 (2013.01); G06F 17/30448 (2013.01); G06F 17/30466 (2013.01); G06F 17/30598 (2013.01); G06F 17/30864 (2013.01); G06F 17/30958 (2013.01); G06K 9/00469 (2013.01); G06K 9/6215 (2013.01); G06K 9/6256 (2013.01); G06K 9/6263 (2013.01); G06K 9/6276 (2013.01); G06N 7/02 (2013.01); G06N 99/005 (2013.01); G06Q 10/06393 (2013.01); G06Q 10/10 (2013.01); G06Q 50/01 (2013.01); H04L 67/10 (2013.01); H04L 67/306 (2013.01);
Abstract

In an example embodiment, a web page is obtained using a web page address stored in a first record and is parsed to extract one or more images from the web page along with a second plurality of features for each of the one or more images from the web page. Information about each image of the web page and the extracted second plurality of features for the web page are input into a supervised machine learning classifier to calculate a logo confidence score for each image of the web page, the logo confidence score indicating the probability that the image is an organization logo. In response to a particular image in the web page having a logo confidence score transgressing a first threshold, the particular image is injected into an organization logo field of the first record.


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