Personalization of a user interface using machine learning
US11436501B1 · kind B1 · utility
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16Claims
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Key dates
| Filing date | Aug 9, 2019 |
| Grant date | Sep 6, 2022 |
| Priority date | — |
| Expiry date | Jun 12, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A unique implementation of a machine learning application for suggesting actions for a user to undertake is described herein. The application transforms a history of user behavior into a set of models that represent user actions given a set of parameters. These models are then used to suggest that users in a payments or banking environment take certain actions based on their history. The models are created using the DensiCube, random forest or k-means algorithms.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.