Patent · US Active

Uplift modeling

US11562400B1 · kind B1 · utility

1Cited by

2References

16Claims

0Family size

Assignee

International Business Machines Corporation · US

Inventors

Jing Xu · Shanghai, CN
Si Er Han · Xi'an, CN
Xue Ying Zhang · Yangshuo, CN
Steven G. Barbee · Beekman, US
Ji Hui Yang · Beijing, CN

Key dates

Filing date	Sep 23, 2021
Grant date	Jan 24, 2023
Priority date	—
Expiry date	Sep 23, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06Q30/0277
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A method includes training a plurality of different types of machine learning models using a training dataset to produce a set of trained machine learning models and determining a lift of each trained machine learning model in the set of trained machine learning models using a validation dataset. The method also includes selecting a trained machine learning model from the set of trained machine learning models that has a highest lift of the set of trained machine learning models and predicting a likelihood that a person will perform an action by applying the selected trained machine learning model to data about the person.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.