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. 07, 2022

Filed:

Nov. 11, 2021
Applicant:

Vivun Inc., Oakland, CA (US);

Inventors:

John Robert Bruce, Carson City, NV (US);

Matthew James Darrow, Oakland, CA (US);

Joseph Patrick Miller, New Hope, PA (US);

John Joseph Salvatore, Punta Gorda, FL (US);

Rayne Krystopher Hernandez, San Francisco, CA (US);

Alexander Matthew Metelitsa, Brooklyn, NY (US);

Assignee:

VIVUN INC., Oakland, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/00 (2020.01); G06F 40/284 (2020.01); G06F 16/332 (2019.01); G06F 3/14 (2006.01);
U.S. Cl.
CPC ...
G06F 40/284 (2020.01); G06F 3/14 (2013.01); G06F 16/3329 (2019.01);
Abstract

An example computer-implemented method embodying the disclosed technology comprises digitally storing a plurality of digital objects comprising first type digital objects and second type digital objects, each digital object comprising an electronic digital representation of natural language text, and certain first type digital objects each being associated with exactly one second type digital object; programmatically generating a corpus of digital documents from the plurality of digital objects; programmatically embedding the electronic digital representation of natural language text of each first type digital object not associated with one of the second type digital objects, thereby generating a second set of vectors; programmatically determining, for each of the second set of vectors, a corresponding set of nearest neighbor vectors from the first set of vectors; programmatically generating recommendation data indicating potential new associations between first type digital objects and second type digital objects; and displaying a representation of the recommendation data.


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