Systems and methods for retraining of machine learned systems
US12236475B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 27, 2023 |
| Grant date | Feb 25, 2025 |
| Priority date | — |
| Expiry date | Jul 27, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/045
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations comprising: training a visual similarity model to output one or more vector representations in a vector space; determining one or more nearest neighbors based on embeddings nearest to a respective embedding in the vector space for the item; ranking the one or more nearest neighbors for the item in an order; re-ranking the order of the one or more nearest neighbors of the item into a re-ranked order; inserting, into a display of the item, the one or more nearest neighbors of the item; and facilitating altering a graphical user interface (GUI) to convey the display of the item. Other embodiments are disclosed herein.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.