Mary Louise Duncan

US Patent:

20200342335, Oct 29, 2020

Filed:

Nov 1, 2019

Appl. No.:

16/671207

Inventors:

- Minnetonka MN, US
Daniel Mulcahy - Cambridge MA, US
Mary Duncan - Washington DC, US
Zhongjian Liu - Austin TX, US

International Classification:

G06N 5/04
G16H 10/60
G16H 20/00
G06F 16/9535
G06N 20/00
G06Q 40/08

Abstract:

Machine-learning based recommendation engines are configured to execute machine-learning models to generate recommendations as output for a user based at least in part on functional data received at the recommendation engine. The recommendation engine is further configured to automatically determine the relative importance of one or more functional data entries in generating the recommendation. Moreover, the recommendation engine executes additional machine-learning models, including a machine-learning model trained to avoid negative outcomes, and an opportunity-based machine-learning model to identify alternative recommendation options based on alternative training logic.