公开(公告)号：US20230033737A1

公开(公告)日：2023-02-02

申请号：US17390612

申请日：2021-07-30

Applicant: INTUIT INC.

Inventor： Carol Ann HOWE ,  Saikat MUKHERJEE ,  Anu SREEPATHY ,  Cem UNSAL ,  Shashi ROSHAN

IPC: G06N5/02 ,  G06K9/62

Abstract: A computer-implemented system and method for predicting rule-based compliance scenarios to implement rule-based topic determinations. A server computing device generates a compliance scenario prediction model by training a machine learning model for a topic with historical user data and cohort labels created by analyzing the scenarios in a completeness graph to predict a set of scenario cohorts that constitute a set of most probable compliance scenarios. The server computing device executes the scenario prediction model to process a user profile including data features associated with the topic to predict a scenario cohort and a compliance scenario corresponding to the predicted cohort for the user. The server computing device automatically infers one or more personalized responses to at least one question of the respective decision node based on the predicted compliance scenario.