Patent · US Active

Systems and methods for retraining of machine learned systems

US11715151B2 · kind B2 · utility

0Cited by
6References
20Claims
0Family size

Assignee

Inventors

Key dates

Filing dateJan 31, 2021
Grant dateAug 1, 2023
Priority date—
Expiry dateApr 2, 2041

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06N3/045
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: training a visual similarity model; determining one or more nearest neighbors for an item using the visual similarity model, as trained; ranking the one or more nearest neighbors using results of the visual similarity model, as trained; re-ranking the one or more nearest neighbors using a learning-to-rank algorithm; and facilitating altering a graphical user interface (GUI) displaying the item based upon the one or more nearest neighbors, as re-ranked. Other embodiments are disclosed herein.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.