Entity segmentation by event rate optimization
US12411911B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 30, 2025 |
| Grant date | Sep 9, 2025 |
| Priority date | — |
| Expiry date | May 30, 2045 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F9/5027
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Aspects of the present disclosure relate to machine learning-based techniques for segmenting entity populations. Embodiments include approximating distributions for outputs generated by a classification machine learning model and ground truth occurrences of a targeted event. A first distribution may relate to the distribution of classification model scores that indicate the likelihood of the targeted event occurring with respect to entities. A second distribution may relate to the distribution of actual occurrences of the targeted event. Based on the distributions, thresholds may be generated by minimizing the values of the thresholds as a function of the distributions and a targeted rate of occurrence for the targeted entity with respect to different segments that are included within the thresholds. Entities may then be segmented based on the thresholds, and interventions (such as resource allocations) may be applied based on the segmentation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.