Machine learning for similarity scores between different document schemas
US12265561B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 29, 2022 |
| Grant date | Apr 1, 2025 |
| Priority date | — |
| Expiry date | Aug 29, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/3346
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A document repository may be searched for documents that are similar to a source document. Multiple queries may be generated based on a type of the source document, and the results may be combined in a unified response. User behavior may then be monitored, and implicit and explicit feedback may be gathered to evaluate the performance of the search. The gathered feedback may indicate how relevant each of the result documents are in comparison to the original source document. This feedback may then be used to adjust search parameters for the source document type, such that the performance of subsequent searches may be improved. A model may also be trained to classify implicit feedback using explicit feedback received from users.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.