US 12,462,167 B2
Unified platform of an artificial intelligence (AI) based test generator and test training system
Wang-Chan Wong, Irvine, CA (US); and Howard Lee, Porter Ranch, CA (US)
Assigned to Lucas GC Limited, Hong Kong (HK)
Filed by Lucas GC Limited, Hong Kong (HK)
Filed on Jan. 2, 2022, as Appl. No. 17/567,153.
Application 17/567,153 is a continuation in part of application No. 17/218,354, filed on Mar. 31, 2021, granted, now 11,238,411.
Application 17/218,354 is a continuation in part of application No. 17/096,643, filed on Nov. 12, 2020, granted, now 10,990,928.
Claims priority of application No. 202011243685.4 (CN), filed on Nov. 10, 2020.
Prior Publication US 2023/0088444 A1, Mar. 23, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 40/00 (2020.01); G06N 5/022 (2023.01)
CPC G06N 5/022 (2013.01) 20 Claims
OG exemplary drawing
 
1. A method, comprising:
categorizing, by a computer system with one or more processors coupled with at least one memory unit, a job requirement into a set of job skills based on a body of knowledge (BOK) skill knowledge base;
obtaining a group of primary candidates through an adaptive selection procedure based on a BOK question knowledge base, wherein the adaptive selection procedure adaptively selecting a subset of questions based on evaluations of one or more answers from the candidate to corresponding prior questions using a recurrent neural network (RNN) model;
generating a candidate-criteria pairwise comparison matrix for the group of primary candidates based on corresponding profiles of each primary candidate and a set of selection criteria, wherein each element of the candidate-criteria matrix is a pairwise comparison of each primary candidate for each selection criterion; and
ranking the group of primary candidates by performing an analytic hierarchy process (AHP) on a set of hierarchical criteria and the candidate-criteria pairwise comparison matrix.
 
12. An apparatus comprising:
a network interface that connects the apparatus to a communication network;
a memory; and
one or more processors coupled to one or more memory units, the one or more processors configured to
categorize a job requirement into a set of job skills based on a body of knowledge (BOK) skill knowledge base;
obtain a group of primary candidates through an adaptive selection procedure based on a BOK question knowledge base, wherein the adaptive selection procedure adaptively selecting a subset of questions based on evaluations of one or more answers from the candidate to corresponding prior questions using a recurrent neural network (RNN) model;
generate a candidate-criteria matrix for the group of primary candidates based on corresponding profiles of each primary candidate and a set of selection criteria, wherein each element of the candidate-criteria matrix is a pairwise comparison of each primary candidate for each selection criterion; and
rank the group of primary candidates by performing an analytic hierarchy process (AHP) on a set of hierarchical criteria and the candidate-criteria pairwise comparison matrix.