US 11,676,070 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. 17/111,477.
Application 17/111,477 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); G06F 16/242 (2019.01)
CPC G06N 20/00 (2019.01) [G06F 16/2433 (2019.01); G06F 16/835 (2019.01)] 13 Claims
OG exemplary drawing
 
1. A cache datastructure generating 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:
generate, via at least one processor, a cognitive intelligence (CI) datapoint identifier cache datastructure, the CI datapoint identifier cache datastructure configured to comprise a category identifier and an entity segment identifier;
generate, via at least one processor, a CI datapoint value cache datastructure, the CI datapoint value cache datastructure configured to comprise a set of module datastructures, each module datastructure corresponding to a module identifier associated with the category identifier specified in the CI datapoint identifier cache datastructure, each module datastructure comprising a set of metric datastructures, each metric datastructure corresponding to a set of calculated metrics, for an allowable response question identifier associated with the respective module datastructure's module identifier, for the entity segment identifier specified in the CI datapoint identifier cache datastructure; and
store, via at least one processor, the generated CI datapoint identifier cache datastructure and the generated CI datapoint value cache datastructure as a key-value pair.