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:
Aug. 11, 2020

Filed:

Apr. 11, 2017
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Ioana M. Baldini Soares, Irvington, NY (US);

Amit Dhurandhar, Yorktown Heights, NY (US);

Abhishek Kumar, Elmsford, NY (US);

Aleksandra Mojsilovic, New York, NY (US);

Kien T. Pham, Brooklyn, NY (US);

Kush R. Varshney, Ossining, NY (US);

Maja Vukovic, New York, NY (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06Q 50/26 (2012.01); G06F 16/951 (2019.01); G06F 16/35 (2019.01); G06N 5/02 (2006.01);
U.S. Cl.
CPC ...
G06Q 50/265 (2013.01); G06F 16/35 (2019.01); G06F 16/951 (2019.01); G06N 5/022 (2013.01); G06N 20/00 (2019.01);
Abstract

A network is crawled using a trained learning model to identify a set of secondary-source documents related to an event. A hub page from the set of secondary-source documents is identified that includes a link predicted to link to a new relevant secondary-source document. The new document is added to the set of secondary-source documents. Information is extracted from the set of secondary-source documents. Feedback is received indicative of a relevancy level for the extracted information as applied to the event. Each document is classified into one or more categories related to the event, based on the extracted information and the received feedback information. A learning model is trained based on the received feedback.


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