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:
Mar. 16, 2021

Filed:

Dec. 04, 2018
Applicant:

Panjiva, Inc., New York, NY (US);

Inventors:

James Ryan Psota, Cambridge, MA (US);

Jason Seth Prentice, Arlington, MA (US);

Peter Goodings Swartz, Cambridge, MA (US);

Timothy George Garnett, San Mateo, CA (US);

Giulio Gueltrini, Cambridge, MA (US);

Assignee:

Panjiva, Inc., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/28 (2019.01); G06F 16/215 (2019.01); G06F 16/2457 (2019.01); G06F 16/23 (2019.01); G06Q 10/08 (2012.01);
U.S. Cl.
CPC ...
G06F 16/288 (2019.01); G06F 16/215 (2019.01); G06F 16/2379 (2019.01); G06F 16/24578 (2019.01); G06F 16/285 (2019.01); G06Q 10/083 (2013.01);
Abstract

The technology features a system and computer-implemented method for resolving a relationship between objects. A target object index is generated based on a group of target objects. One or more lookup operations is performed on each target object in the target object index for each source object in a group of source objects. A plurality of source target object pairs is generated, each source target object pair comprising one source object and one target object having at least one matching data value. Each source target object pair is converted into a numeric feature vector. The numeric feature vector is classified corresponding to each source target object pair using a binary classifier. A match score to each source target object pair is applied based on the classification using the binary classifier. Any source target object pair having a match score lower than a match threshold value is discarded.


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