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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 11694119 B1

PDFFull Text
Date of Patent:
Jul. 04, 2023

Filed:

Dec. 03, 2020

Multidimensional machine learning data and user interface segment tagging engine apparatuses, methods and systems

Applicant:

Momentum Na, Inc., New York, NY (US);

Inventors:

Jason Alan Snyder, Ridgewood, NJ (US);

Manuel De Araujo Pedreira Neto, New York, NY (US);

Elena Klau Silverman, New York, NY (US);

Stephen Michael Gorman, Hastings on Hudson, NY (US);

Michael Clark, Saint Charles, MO (US);

Assignee:

Momentum NA, INC., New York, NY (US);

Attorneys:

Hanchuk Kheit LLP

Walter G. Hanchuk

Primary Examiner:

Tarek Elchanti

Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/835 (2019.01); G06Q 30/02 (2012.01); G06F 16/838 (2019.01); G06F 3/04842 (2022.01); G06Q 30/0203 (2023.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/835 (2019.01); G06F 16/838 (2019.01); G06Q 30/0203 (2013.01); G06F 3/04842 (2013.01);
Abstract

The Multidimensional Machine Learning Data and User Interface Segment Tagging Engine Apparatuses, Methods and Systems ('MLUI') transforms ambient condition data, sales data, user interface selections, cognitive intelligence question input inputs via MLUI components into project projections, campaigns, user interface visualizations, cognitive intelligence question output outputs. A category identifier selection is obtained via a category selection interaction interface mechanism. Entity segment identifier selections are obtained via entity segment selection interaction interface mechanisms. A set of visualization cognitive intelligence (CI) datapoint identifiers is determined as CI datapoint identifiers associated with each combination of a selected entity segment identifier and the selected category identifier. CI datapoint values corresponding to the set of visualization CI datapoint identifiers are retrieved from a NoSQL database configured to act as cache for generating visualizations based on metrics calculated using survey data. A visualization is generated using the retrieved CI datapoint values.

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