The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 14, 2026

Filed:

Jan. 24, 2023
Applicant:

Maplebear Inc., San Francisco, CA (US);

Inventors:

Sharath Rao Karikurve, Berkeley, CA (US);

Ramasubramanian Balasubramanian, Jersey City, NJ (US);

Shrikar Archak, Newark, CA (US);

Assignee:

Maplebear Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/0601 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06Q 30/0631 (2013.01); G06N 20/00 (2019.01);
Abstract

An online concierge system may receive, from a customer, a selection of an item that is associated with a first brand. The online concierge system may extract features associated with the customer and features associated with the item. The online concierge system may input the extracted features to a machine learning model that is trained to predict a degree of association between the customer and the first brand associated with the item. The online concierge system may identify candidate alternatives for replacing the item. The candidate alternatives may include a first alternative that is associated with the first brand and a second alternative that is associated with a second brand different from the first brand. The online concierge system may select, based on the degree of association between the customer and the first brand, one or more candidate alternatives to be presented to the customer to replace the item.


Find Patent Forward Citations

Quick Actions:

Rao Karikurve, Sharath. (2026). Method, non-transitory computer-readable medium, and system for inferring user brand sensitivity using a machine learning model (U.S. Patent No. 12682385). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12682385

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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