	US 12,106,350 B2
	Systems and methods for mitigating display of non-compliant information
Ming Sun, Hoboken, NJ (US); Weiqi Tong, New York, NY (US); Nidhin Pattaniyil, Philadelphia, PA (US); Antonio Khalil Moretti, New York, NY (US); Tanwir Zaman, Jersey City, NJ (US); Yiyi Huang, Weehawken, NJ (US); Guang Yang, Bellevue, WA (US); and Zheng Yan, Short Hills, NJ (US)
Assigned to WALMART APOLLO, LLC, Bentonville, AR (US)
Filed by Walmart Apollo, LLC, Bentonville, AR (US)
Filed on Oct. 7, 2021, as Appl. No. 17/496,676.
Prior Publication US 2023/0115677 A1, Apr. 13, 2023
Int. Cl. G06Q 30/00 (2023.01); G06Q 30/0601 (2023.01)

CPC G06Q 30/0627 (2013.01)

18 Claims

1. 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, perform:

receiving user search queries and product items, the product items including metadata corresponding to product types, wherein receiving the product items comprises receiving the product items from a cataloging engine, the product types comprising errors from the cataloging engine, and the errors corresponding to one or more of the product items including a non-compliant product type;

determining a data relationship between the user search queries and the product items based on a weighting factor, the data relationship including user search query nodes and product item nodes;

determining a first vector representation for first ones of the product item nodes in the data relationship;

determining a second vector representation for second ones of the product item nodes in the data relationship;

grouping the first vector representation for first ones of the product item nodes and the second vector representation for second ones of the product item nodes into a product type group based on a proximity search;

modifying the metadata corresponding to the product types based on the product type group to mitigate a computing system from displaying non-compliant material to a user; and

in response to a product type of the product type group being the non-compliant product type, automatically performing a computer vision prediction on an image of a product corresponding to the product type to detect a misclassification in the product type group.