Predictive event searching utilizing a machine learning model trained using dynamically-generated event tags
US11436412B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Feb 18, 2020 |
| Grant date | Sep 6, 2022 |
| Priority date | — |
| Expiry date | Apr 8, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/16
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An apparatus includes at least one processing device configured to obtain event metadata for events published by event sources to an event platform, the event metadata comprising static event tags for respective ones of the events. The at least one processing device is also configured to generate dynamic event tags having an association with event types based at least in part on analysis of real-time event traffic comprising a subset of the events published by the event sources to the event platform over a designated time period. The at least one processing device is further configured to train a machine learning model utilizing the static event tags and the association of the dynamic event tags with the event types, receive a query comprising event parameters, and provide a response to the query by utilizing the trained machine learning model to match events with the event parameters in the query.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.