Automated data hierarchy extraction and prediction using a machine learning model
US12367421B2 · kind B2 · utility
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18Claims
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Key dates
| Filing date | May 14, 2021 |
| Grant date | Jul 22, 2025 |
| Priority date | — |
| Expiry date | May 23, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are disclosed for revising training data used for training a machine learning model to exclude categories that are associated with an insufficient number of data items in the training data set. The system then merges any data items associated with a removed category into a parent category in a hierarchy of classifications. The revised training data set, which includes the recategorized data items and lacks the removed categories, is then used to train a machine learning model in a way that avoids recognizing the removed categories.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.