公开(公告)号：US20210133893A1

公开(公告)日：2021-05-06

申请号：US16671890

申请日：2019-11-01

Applicant: INTUIT INC.

Inventor： Shashi ROSHAN ,  Aminish SHARMA ,  Manish SHAH ,  Anoop MAKWANA ,  Gang WANG

IPC: G06Q40/00 ,  G06N5/04

Abstract: Aspects of the present disclosure provide techniques for explainable payroll calculations. Embodiments include receiving a request from a client for a rule-based calculation. Embodiments include receiving one or more user values related to the request. Embodiments include using a calculation graph to determine the rule-based calculation based on the one or more user values. The calculation graph may comprise at least one node that performs an operation using the one or more user values. Embodiments include identifying an explanation template associated with the at least one node. Embodiments include generating an explanation of the rule-based calculation based on the explanation template and the one or more user values. Embodiments include providing the rule-based calculation and the explanation of the rule-based calculation to the client in response to the request.

公开(公告)号：US20210089959A1

公开(公告)日：2021-03-25

申请号：US16582208

申请日：2019-09-25

Applicant: Intuit Inc.

Inventor： Mithun GHOSH ,  Aminish SHARMA ,  Shashi ROSHAN ,  Hrishikesh GANU

IPC: G06N20/00 ,  G06Q30/00 ,  G06F16/953

Abstract: A server may receive an inquiry associated with an interaction between a customer and a customer support agent from a device associated with a customer support agent; enter the inquiry as an input to a contextual bandit model; select, using the contextual bandit model, a collection of articles from a plurality of pre-defined collections of articles based on the inquiry; cause, in response to the contextual bandit model selecting the collection of articles, at least one search result to be displayed on a user interface of the device associated with the customer support agent, wherein a search result includes at least a portion of at least one article of the collection of articles; cause text within the at least one search result to be highlighted; receive feedback on the collection of articles from the customer support agent; and update the contextual bandit model based on the feedback.

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.