Methods and apparatuses to rank multiple results from multiple search engines using a fully connected neural network
US12380125B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 10, 2024 |
| Grant date | Aug 5, 2025 |
| Priority date | — |
| Expiry date | Jan 10, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/1053
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In an embodiment, a plurality of ballots (1) for a plurality of candidates, (2) generated by a plurality of search engines, and (3) for a job description are received. Each ballot from the plurality of ballots is generated by a search engine from the plurality of search engines different than remaining search engines from the plurality of search engines. A mathematical representation that indicates, for each candidate from the plurality of candidates, how many other candidates from the plurality of candidates that candidate was ranked higher than in the plurality of ballots is generated. A final ballot ranking the plurality of candidates is generated using a trained statistical model and based on the mathematical representation. A candidate from the plurality of candidates for the job description is identified based on the final ballot.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.