Machine learning-based systems and methods for predicting a digital activity and automatically executing digital activity-accelerating actions
US11698811B1 · kind B1 · utility
2Cited by
1References
15Claims
0Family size
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Key dates
| Filing date | Aug 16, 2022 |
| Grant date | Jul 11, 2023 |
| Priority date | — |
| Expiry date | Aug 16, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F11/3438
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for machine learning-informed surfacing and automated execution of digital activity-accelerating actions includes identifying a target digital artifact; and based on identifying the target digital artifact: searching a digital activity-accelerator registry based on the target digital artifact; and in accordance with a determination that the digital activity-accelerator registry includes a composite activity sequence corresponding to the target digital artifact, displaying, via a graphical user interface, one or more selectable representations of one or more tasks included in the composite activity sequence.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.