Allocating resources based on group performance metrics computed using machine learning models
US12328359B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 6, 2025 |
| Grant date | Jun 10, 2025 |
| Priority date | — |
| Expiry date | Feb 6, 2045 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/1029
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A plurality of entities is categorized into a plurality of segments based, at least in part, on data on the plurality of entities. A plurality of groups is generated based, at least in part, on similarities between segments of the plurality of segments. A machine learning model is trained to compute group performance metrics for the plurality of groups by at least initializing a weight to an individual segment of the plurality of segments and modifying the weight. A first resource is allocated to a first group of the plurality of groups based, at least in part, on a first group performance metric from the trained machine learning model. An indication of the first resource allocated to the first group is caused to be presented via an interface.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.