Engaging unknowns in response to interactions with knowns
US12149492B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 29, 2022 |
| Grant date | Nov 19, 2024 |
| Priority date | — |
| Expiry date | Apr 19, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L51/226
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A system for improving distributed network data flow efficiency by using a machine learning model to engage a reduced set of unknown objects is disclosed. The system includes at least one processor, a communication interface communicatively coupled to the at least one processor, and a memory device storing executable code that, when executed causes the at least one processor to receive interaction data corresponding to interactions between known objects and unknown objects, develop an interaction map, develop a profile for each unknown object, process each unknown object using a machine learning algorithm to generate a reduced set of unknown objects most likely to reciprocate and identify properties of each unknown object, and trigger a communication to each of the reduced set of unknown objects.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.