US 11,694,119 B1
Multidimensional machine learning data and user interface segment tagging engine apparatuses, methods and systems
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); and Michael Clark, Saint Charles, MO (US)
Assigned to Momentum NA, INC., New York, NY (US)
Filed by Momentum NA, Inc., New York, NY (US)
Filed on Dec. 3, 2020, as Appl. No. 17/111,475.
Application 17/111,475 is a continuation in part of application No. 16/221,437, filed on Dec. 14, 2018.
Claims priority of provisional application 62/598,847, filed on Dec. 14, 2017.
Claims priority of provisional application 63/051,873, filed on Jul. 14, 2020.
Int. Cl. 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)
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)] 13 Claims
OG exemplary drawing
 
1. A cognitive intelligence visualization engine apparatus, comprising:
a memory;
a component collection in the memory;
a processor disposed in communication with the memory and configured to issue a plurality of processor-executable instructions from the component collection, the processor-executable instructions configured to:
obtain, via at least one processor, a category identifier selection via a category selection interaction interface mechanism;
obtain, via at least one processor, a first entity segment identifier selection via a first entity segment selection interaction interface mechanism;
obtain, via at least one processor, a second entity segment identifier selection via a second entity segment selection interaction interface mechanism;
determine, via at least one processor, a set of visualization cognitive intelligence (CI) datapoint identifiers, the set of visualization CI datapoint identifiers configured to include CI datapoint identifiers associated with each combination of: a selected entity segment identifier and the selected category identifier;
retrieve, via at least one processor, for each CI datapoint identifier in the set of visualization CI datapoint identifiers, a CI datapoint value corresponding to the respective CI datapoint identifier from a NoSQL database via a cache datastructure, the NoSQL database configured to act as cache for generating visualizations based on metrics calculated using survey data, a cache datastructure configured as a key-value pair comprising an associated CI datapoint identifier and a CI datapoint value corresponding to the associated CI datapoint identifier;
generate, via a cache datastructure via at least one processor, a visualization using the retrieved CI datapoint values, the visualization configured to display a set of metrics, for a set of utilized allowable response question identifiers associated with the selected category identifier, for each selected entity segment identifier.