Storage and automated metadata extraction using machine teaching
US11443144B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 17, 2020 |
| Grant date | Sep 13, 2022 |
| Priority date | — |
| Expiry date | Dec 24, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/101
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques configuring a machine learning model include receiving, via a user interface configured to communicate with a machine learning model hosted on a collaborative computing platform, a selection of a file for input to the machine learning model, a selection of content in the file for input to the machine learning model, and instructions for applying the selected content to the machine learning model, which are sent to the machine learning model. As new files are uploaded to the selected directories of the collaborative computing platform, the machine learning model is applied to the uploaded files to classify the files and extract metadata. The extracted metadata and associated classification data are stored in data structures associated with the new files. The data structures are existing data structures of the collaborative computing platform.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.