Adaptive document curation
US11232064B2 · kind B2 · utility
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16Claims
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Key dates
| Filing date | Jan 29, 2020 |
| Grant date | Jan 25, 2022 |
| Priority date | — |
| Expiry date | Jul 19, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An adaptive document curation method. A machine learning model is trained on a first library of documents to assign staleness scores to documents, each indicating a confidence that the document to which it is assigned should be archived. If a document has a staleness score at least equal to a threshold, the document is identified as a candidate to be archived or deleted.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.