Unsupervised embedding methods for similarity based industrial component model requesting systems
US12153882B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 20, 2021 |
| Grant date | Nov 26, 2024 |
| Priority date | — |
| Expiry date | Oct 5, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer implemented method for comparing unsupervised embedding methods for a similarity based industrial component model requesting system including obtaining a text corpus relating to industrial component models and a list of testing words, modifying by altering some of the occurrences of each testing word, the modified text corpus containing, for each testing word, occurrences of a first version of each testing word, and occurrences of a second version of each testing word, running an unsupervised embedding method on the modified text corpus and obtaining vector representations, determining a scoring value, by comparing, for at least some of the testing words, the vector representations of the first version of these testing words, and the vector representations the second version of these testing words, running the obtaining, modifying with the text corpus and the list of testing words with another unsupervised embedding method and returning the respective scoring values.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.