GRATITUDE PREDICTION MACHINE LEARNING MODELS

Patent №

US 11,640,445

Granted

2023-05-02

Filed 2022

Owner

FUTURUS GROUP, INC.

+1 more

Lab

AI components

6

ml · nlp · vision · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17834325

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining gratitude scores for a plurality of people who have interacted with an organization. In one aspect, a method comprises: obtaining, for each of a plurality of people who have interacted with an organization, history data characterizing previous interactions of the person with the organization and third party data characterizing aspects of the person outside of their previous interactions with the organization; and processing, for each of the plurality of people, the history data and the third party data for the person using a gratitude prediction machine learning model to generate a gratitude score for the person, wherein the gratitude score for the person characterizes a likelihood that the person will take a specified action on behalf of the organization in the future.

Machine learningNatural languageVisionKnowledge representationPlanningAI hardwareG06F 18/2113G06N 3/0499G06N 3/09G06Q 30/0279G06N 3/08G06N 20/00G06Q 30/0282

AI classification

Machine learning1.00
Natural language1.00
Planning1.00
Knowledge representation1.00
AI hardware0.94
Vision0.73
Speech0.07
Evolutionary computation0.00

Ownership

FUTURUS GROUP, INC.

assignment · 612190477

THE GOBEL GROUP, LLC

assignment · 612190531

Assignors

GOBEL, CHAD, CHAPPELL, NATHAN

On an employer assignment, the assignors are typically the inventors.

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