Systems and methods for predicting actionable tasks using contextual models
US11263241B2 · kind B2 · utility
8Cited by
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20Claims
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Key dates
| Filing date | Sep 12, 2019 |
| Grant date | Mar 1, 2022 |
| Priority date | — |
| Expiry date | Jun 5, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to an intelligent user interface that predicts tasks for users to complete using a trained machine-learning model. In some implementations, when a user accesses the intelligent user interface, the available tasks and a user profile can be inputted into the trained machine-learning model to output a prediction of one or more tasks for the user to complete. Advantageously, the trained machine-learning model outputs a prediction of tasks that the user will likely need to complete, based at least in part on the user's profile and previous interactions with applications.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.