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 11127099 B1

PDF
Full Text
Expired
Date of Patent:
Sep. 21, 2021

Filed:

Apr. 21, 2017
Applicant:

Fiscalnote, Inc., Washington, DC (US);

Inventors:

Vladimir Eidelman, Chevy Chase, MD (US);

Brian Grom, Lake Worth, FL (US);

Daniel Argyle, Alexandria, VA (US);

Jervis Pinto, Silver Spring, MD (US);

Assignee:

FiscalNote, Inc., Washington, DC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 50/26 (2012.01); G06Q 10/06 (2012.01); G06F 16/28 (2019.01); G06F 16/33 (2019.01); G06F 40/30 (2020.01); G06F 40/205 (2020.01); G06F 40/263 (2020.01); G06N 5/02 (2006.01); G06Q 50/18 (2012.01); G06F 3/0482 (2013.01); G06F 3/0484 (2013.01); G06N 5/04 (2006.01); G06N 20/00 (2019.01); G06F 16/95 (2019.01); G06T 11/20 (2006.01);
U.S. Cl.
CPC ...
G06Q 50/26 (2013.01); G06F 3/0482 (2013.01); G06F 3/04847 (2013.01); G06F 16/288 (2019.01); G06F 16/3331 (2019.01); G06F 40/205 (2020.01); G06F 40/263 (2020.01); G06F 40/30 (2020.01); G06N 5/022 (2013.01); G06N 5/04 (2013.01); G06Q 10/06375 (2013.01); G06Q 50/18 (2013.01); G06F 16/95 (2019.01); G06N 20/00 (2019.01); G06Q 2230/00 (2013.01); G06T 11/206 (2013.01); G06T 2200/24 (2013.01);
Abstract

A hybrid prediction system may aggregate electronic data to identify and initially predict an outcome of a future event and subsequently update the initial prediction. The system may include at least one processor and a memory. The processor may access data scraped from the Internet. The data may be associated with at least one future event. The processor may further store the scraped data, determine, from the scraped data, an initial prediction of the outcome of the at least one future event, generate, from the scraped data, an initial likelihood indication associated with the initial prediction, and transmit the initial prediction and the initial likelihood indication to a device associated with one or more users. The processor may further receive proprietary information, store the proprietary information, determine, using the scraped data and the proprietary information, a subsequent likelihood indication, and transmit the subsequent likelihood indication to the device.


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