US 12,169,520 B2
Machine learning selection of images
Jessica Zhang, Los Angeles, CA (US)
Assigned to Intuit Inc., Mountain View, CA (US)
Filed by Intuit Inc., Mountain View, CA (US)
Filed on Jan. 30, 2023, as Appl. No. 18/103,476.
Prior Publication US 2024/0256597 A1, Aug. 1, 2024
Int. Cl. G06F 16/583 (2019.01); G06F 16/951 (2019.01); G06F 40/40 (2020.01)
CPC G06F 16/583 (2019.01) [G06F 16/951 (2019.01); G06F 40/40 (2020.01)] 16 Claims
OG exemplary drawing
 
1. A method comprising:
receiving an input comprising a plurality of texts from a source of text and a plurality of images from a source of images, wherein the plurality of texts is separate from the plurality of images;
embedding the input into a first data structure that defines first relationships among the plurality of images from the source of images and the plurality of texts from the source of text;
comparing the first data structure to an index comprising a second data structure that defines second relationships among a plurality of pre-determined texts and a plurality of pre-determined images, wherein:
the plurality of pre-determined texts have known relationships to the plurality of pre-determined images,
each pre-determined image in the plurality of pre-determined images is related to one or more instances of the plurality of pre-determined texts, and
the plurality of pre-determined texts is separate from the plurality of texts; and
returning a subset of images from the plurality of pre-determined images, wherein the subset comprises those images in the plurality of pre-determined images for which matches exist between the first relationships and the second relationships.