Channel-specific engagement machine learning architecture
US11830610B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 31, 2022 |
| Grant date | Nov 28, 2023 |
| Priority date | — |
| Expiry date | Dec 31, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L65/1066
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A method includes generating an intervention model by determining principal components for features of a training set, associating each feature of the training set with a principal component, selecting features of the training set most highly correlated with principal components, training a machine learning model with at least some of the selected features, and saving the verified trained machine learning model as the intervention model. The method includes determining multiple channel-specific intervention expectations. Each channel-specific intervention expectation indicates a likelihood that the user will take action in response to an intervention being executed using the engagement channel corresponding to the channel-specific intervention expectation. The method includes selecting an intervention and scheduling the selected intervention for execution.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.