Predicting user state using machine learning
US10762441B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 1, 2016 |
| Grant date | Sep 1, 2020 |
| Priority date | — |
| Expiry date | Jul 3, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system coordinates services between users and providers. The system trains a computer model to predict a user state of a user using data about past services. The prediction is based on data associated with a request submitted by a user. Request data can include current data about the user's behavior and information about the service that is independent of the particular user behavior or characteristics. The user behavior may be compared against the user's prior behavior to determine differences in the user behavior for this request and normal behavior of prior requests. The system can alter the parameters of a service based on the prediction about the state of the user requesting the service.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.