US 11,734,313 B2
Systems and methods for intelligently grouping financial product users into cohesive cohorts
James Jennings, San Diego, CA (US); Yao Morin, San Diego, CA (US); and Joseph Brian Cessna, San Diego, CA (US)
Assigned to INTUIT, INC., Mountain View, CA (US)
Filed by INTUIT INC., Mountain View, CA (US)
Filed on Jan. 26, 2021, as Appl. No. 17/158,310.
Application 17/158,310 is a continuation of application No. 15/796,594, filed on Oct. 27, 2017, granted, now 10,936,627.
Prior Publication US 2021/0149923 A1, May 20, 2021
Int. Cl. G06F 16/00 (2019.01); G06F 16/28 (2019.01); G06F 16/22 (2019.01)
CPC G06F 16/285 (2019.01) [G06F 16/2246 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for reducing utilization of resources of a computing system associated with a cluster search operation, the computer-implemented method comprising:
partitioning, by the computing system, into a plurality of bins, user data from a data warehouse for each dimension in a plurality of dimensions such that respective bins of the plurality of bins correspond to respective dimensions in the plurality of dimensions;
defining, by the computing system, as a cluster of a plurality of clusters, each bin of the plurality of bins that includes a subset of the user data for a number of users above a threshold;
storing, by the computing system, the plurality of clusters into a cluster definitions table;
searching, by the computing system, the cluster definitions table for at least one associated cluster with a highest number of dimensions for association with a specific user, wherein the searching comprises:
omitting, by the computing system, clusters that do not contain cluster criteria or user characteristics for the specific user; and
searching, by the computing system, remaining clusters in the cluster definition table;
selecting, by the computing system, a heuristic for use in determining a cluster of the at least one associated cluster to associate with the user based on usage information related to the user.