Prediction of future occurrences of events using adaptively trained artificial-intelligence processes and contextual data
US12387145B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 3, 2021 |
| Grant date | Aug 12, 2025 |
| Priority date | — |
| Expiry date | May 26, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/40
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosed embodiments include computer-implemented apparatuses and processes that dynamically predict future occurrences of events using adaptively trained artificial-intelligence processes and contextual data. For example, an apparatus may generate an input dataset based on first interaction data and contextual data associated with a prior temporal interval, and may apply an adaptively trained, gradient-boosted, decision-tree process to the input dataset. Based on the application of the adaptively trained, gradient-boosted, decision-tree process to the input dataset, the apparatus may generate output data representative of a predicted likelihood of an occurrence of an event during a future temporal interval, which may be separated from the prior temporal interval by a corresponding buffer interval. The apparatus may also transmit a portion of the generated output data to a computing system, and the computing system may be configured to generate or modify second interaction data based on the portion of the output data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.