Sap Se

Aarti Arikatala

Rebecca Danford

Anil Babu Ankisettipalli

Sebastian Schreiber

Yue Yu

Bhavik Agarwal

Systems and methods select a candidate scenario of a plurality of scenarios in a scenario group associated with a hard level, based on a user query, generate a candidate selection rationale using a first machine learning model and analyze, using a second machine learning model, the user query, the candidate scenario, and the candidate selection rationale to generate a selection decision and selection decision feedback. The systems and methods further, until a selection decision is positive or a maximum number of iterations has been reached, select a new candidate scenario of the plurality of scenarios in the scenario group and generate a new candidate selection rational for based on the user query and the selection decision feedback, using the first machine learning model, and generate a new selection decision and new selection decision feedback based on the user query and new candidate selection rationale, using the second machine learning model.

Growing community of inventors

San Francisco, CA, United States of America

Aarti Arikatala