Leveraging clustering models to reduce bias
US12406273B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 5, 2020 |
| Grant date | Sep 2, 2025 |
| Priority date | — |
| Expiry date | Feb 18, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0242
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed herein are systems and methods that use test and control datasets to evaluate effectiveness of an event. An analytic server may retrieve a set of nodes comprising a subset of nodes corresponding to the test customers and a subset of nodes corresponding to the control customers. The analytic server may use a clustering method to generate a number of clusters for the set of nodes based on a set of attributes prior to the event. The nodes within each cluster have a set of matching attributes. The analytic server may calculate a weight factor for each cluster corresponding to a proportion of the test customers. The analytic server may compare the performance difference between the test customers and control customers within each cluster. Based on the performance difference within each cluster and the weight factor for each cluster, the analytic server may determine the effectiveness of the event.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.