Method, non-transitory machine-readable medium, and system for identifying comparable entities using machine learning and profile graphs
US12265919B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Nov 22, 2019 |
| Grant date | Apr 1, 2025 |
| Priority date | — |
| Expiry date | Mar 1, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0631
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for identifying similar companies based on profile data sets of the companies are provided. In one embodiment, a method comprises using a processing device to obtain a benchmark profile data set for a benchmark company and obtain a plurality of profile data sets, each of the plurality of profile data sets corresponding to a candidate company. The processing device may utilize a machine learning algorithm to determine the distance between each of the plurality of profile data sets and the benchmark profile data set and build profile graphs indicating the distance. The processing device may determine one or more of the plurality of profile data sets that are most similar to the benchmark profile data set based on the determined distance and identify the one or more candidate companies corresponding to the one or more profile data sets as companies most similar to the benchmark company.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.