Parent company industry classifier
US10726355B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 31, 2016 |
| Grant date | Jul 28, 2020 |
| Priority date | — |
| Expiry date | Mar 20, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0202
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In an example embodiment, a solution that automatically predicts an industry for a candidate company is provided. An existing industry classifier is trained using a first machine learning algorithm, the first machine learning algorithm taking as input first training data and existing industries listed in an industry taxonomy. A new industry classifier is trained using a second machine learning algorithm, the second machine learning algorithm taking as input second training data and new industries listed in an industry taxonomy. Then the candidate company is fed into the existing industry classifier, producing one or more predicted existing industries corresponding to the candidate company. The candidate company is also fed into the new industry classifier, producing one or more predicted new industries corresponding to the candidate company. One or more final predicted industries are selected from among the one or more predicted existing industries and the one or more predicted new industries.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.