Machine learning system and method to map keywords and records into an embedding space
US10902009B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 23, 2020 |
| Grant date | Jan 26, 2021 |
| Priority date | — |
| Expiry date | Jul 23, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/284
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In some embodiments, a method includes determining a position for a search query and a position for each audience record from multiple audience records in an embedding space. The method further includes receiving multiple device records, each associated with an audience record. The method further includes determining multiple keywords, each associated with an audience record and determining a position for each keyword in the embedding space. The method further includes calculating a first distance between the position of the search query in the embedding space and the position of each audience record in the embedding space. The method further includes calculating a second distance between the position of the search query in the embedding space and the position of each keyword in the embedding space. The method further includes ranking each audience record based on the first distance and the second distance.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.