Method and system for multistage candidate ranking
US11727327B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 28, 2020 |
| Grant date | Aug 15, 2023 |
| Priority date | — |
| Expiry date | Sep 26, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for candidate recommendation are provided. Candidate vectors are generated from candidate documents, and an initial ranking is performed according to a distance metric between the candidate vector and an objective vector generated based on an objective document to select a subset of the candidate documents. A feature vector is generated for each of the selected candidate documents. The feature vector includes features derived from a first vectorized representation of content from one of the candidate document and the objective document and a second vectorized representation of content from the one of the candidate document and the objective document. The feature vector is provided to a machine learning model to generate a score for each of the selected candidate documents. The selected candidate documents are ranked according the scores generated at the machine learning model to provide a ranked candidate list.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.