Patent ID: 11860880
Assignee: WALMART APOLLO, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 11:
12. The method of claim 11, further comprising:
identifying, using the optimization algorithm of the feature learning system, one or more sub-populations of the case individuals from the gross population of the case individuals, wherein identifying the one or more sub-populations of the case individuals from the gross population of the case individuals comprises:
identifying a first control sub-population of the case individuals from the first control population from the gross population of the case individuals, wherein identifying the first control sub-population of the case individuals from the gross population of the case individuals comprises grouping together first case individuals randomly selected from the gross population of the case individuals to form the first control sub-population of the case individuals, and wherein the first case individuals are associated with the at least one first sub-population feature; and
measuring a first control sub-population average feedback metric based on the first control content feedback provided from the first control sub-population of the case individuals in response to being presented the first control content; and

wherein:
identifying the first sub-population of the case individuals from the gross population of the case individuals further comprises:
grouping together second case individuals randomly selected from the gross population of the case individuals to form the first test sub-population of the case individuals, wherein the first case individuals are exclusive from the second case individuals, the second case individuals are associated with the at least one first sub-population feature, and wherein the first case individuals and the second case individuals together comprise the first sub-population of the case individuals.