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. 29, 2021

Filed:

Sep. 17, 2019
Applicant:

Bitvore Corp., Los Angeles, CA (US);

Inventors:

Greg Bolcer, Yorba Linda, CA (US);

John Petrocik, Irvine, CA (US);

Alan Chaney, Simi Valley, CA (US);

Nirmisha Bollampalli, Irvine, CA (US);

Andrey Mogilev, Novosibirsk, RU;

Kevin Watters, Boston, MA (US);

Assignee:

Illinois Tool Works Inc., Glenview, IL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/2457 (2019.01); G06K 9/00 (2006.01); G06F 17/30 (2006.01); G06F 16/9535 (2019.01); G06Q 10/10 (2012.01); G06Q 50/00 (2012.01); H04L 12/58 (2006.01);
U.S. Cl.
CPC ...
G06F 16/24578 (2019.01); G06F 16/9535 (2019.01); G06F 17/30554 (2013.01); G06K 9/00469 (2013.01); G06Q 10/101 (2013.01); G06Q 10/107 (2013.01); G06Q 50/01 (2013.01); H04L 51/16 (2013.01);
Abstract

A computer-implemented method performed at a server system having one or more processors and memory, the method comprising receiving a set of curated documents comprising one or more documents identified as being relevant to a sector, analyzing the set of curated documents to determine one or more words and a count of each of the one or more words for all documents of the curated set of documents, further analyzing the set of curated documents, by analyzing one or more n-grams based on the one or more words, determining a first score based on a term frequency and a global document frequency of each of the one or more words of each of the one or more n-grams, determining a document vector based on averages of the first score, where the document vector comprises a perfect document for the sector, and storing the document vector in the data store.


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