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.

Patent No.:

US 10817482 B1

Date of Patent:

Oct. 27, 2020

Filed:

Mar. 14, 2014

Apparatus, systems, and methods for crowdsourcing domain specific intelligence

Applicant:

Factual Inc., Los Angeles, CA (US);

Inventors:

Jeffrey Su, Los Angeles, CA (US);

Boris Shimanovsky, Los Angeles, CA (US);

Assignee:

FACTUAL INC., New York, NY (US);

Attorney:

Primary Examiner:

Miranda M Huang

Assistant Examiner:

Kevin W Figueroa

Int. Cl.

CPC ...

G06F 16/21 (2019.01); G06N 20/00 (2019.01); G06F 16/23 (2019.01); G06F 16/29 (2019.01); G06F 16/35 (2019.01); G06F 16/28 (2019.01); G06F 16/31 (2019.01); G06F 16/951 (2019.01); G06F 16/2458 (2019.01); G06F 16/2455 (2019.01); G06Q 10/10 (2012.01); G06Q 50/00 (2012.01); G05B 13/02 (2006.01); H04W 4/029 (2018.01); H04W 76/38 (2018.01); H04W 4/50 (2018.01); G06Q 30/02 (2012.01); H04L 12/24 (2006.01); H04W 4/02 (2018.01); H04W 4/021 (2018.01); H04W 8/08 (2009.01); H04W 8/16 (2009.01); H04W 8/18 (2009.01); H04W 16/24 (2009.01); H04W 64/00 (2009.01); H04W 88/02 (2009.01); G06N 5/02 (2006.01); G06F 16/335 (2019.01); H04W 16/00 (2009.01); H04W 16/30 (2009.01); H04W 16/32 (2009.01); H04W 88/00 (2009.01);

U.S. Cl.

CPC ...

G06F 16/21 (2019.01); G05B 13/0265 (2013.01); G06F 16/23 (2019.01); G06F 16/235 (2019.01); G06F 16/2379 (2019.01); G06F 16/2386 (2019.01); G06F 16/2477 (2019.01); G06F 16/24564 (2019.01); G06F 16/282 (2019.01); G06F 16/285 (2019.01); G06F 16/29 (2019.01); G06F 16/313 (2019.01); G06F 16/35 (2019.01); G06F 16/951 (2019.01); G06N 5/022 (2013.01); G06N 20/00 (2019.01); G06Q 10/101 (2013.01); G06Q 30/0261 (2013.01); G06Q 30/0282 (2013.01); G06Q 50/01 (2013.01); H04L 41/14 (2013.01); H04W 4/02 (2013.01); H04W 4/021 (2013.01); H04W 4/025 (2013.01); H04W 4/029 (2018.02); H04W 4/50 (2018.02); H04W 8/08 (2013.01); H04W 8/16 (2013.01); H04W 8/18 (2013.01); H04W 16/24 (2013.01); H04W 64/00 (2013.01); H04W 64/003 (2013.01); H04W 76/38 (2018.02); H04W 88/02 (2013.01); G06F 16/337 (2019.01); H04W 16/00 (2013.01); H04W 16/30 (2013.01); H04W 16/32 (2013.01); H04W 88/00 (2013.01);

Abstract

The present disclosure provides apparatus, systems, and methods for crowdsourcing domain specific intelligence. The disclosed crowdsourcing mechanism can receive domain specific intelligence as a data processing rule module. For example, a data analytics system can request a crowd of software developers to provide a data processing rule module tailored to process a particular type of information from a particular domain. When the data analytics system receives the data processing rule module from one of the software developers for the particular domain, the data analytics system can use the received data processing rule module to process information associated with the particular domain.

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