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:
May. 12, 2026

Filed:

Sep. 28, 2022
Applicant:

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

Inventors:

Vinesh Reddy Gudla, South San Francisco, CA (US);

Tyler Russell Tate, Lexington, KY (US);

Tejaswi Tenneti, San Carlos, CA (US);

Akshay Nair, San Francisco, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/0601 (2023.01); G06Q 30/0201 (2023.01); G06Q 30/0204 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0629 (2013.01); G06Q 30/0201 (2013.01); G06Q 30/0204 (2013.01);
Abstract

An online system receives a search query from a client device associated with a user and queries a database including item data for a set of items matching the query, in which the set of items is at a retailer location associated with a retailer type and each item is associated with an item category. For each item of the set, a machine learning model is applied to predict a probability of conversion for the user and item and a score is computed based on an expected value, in which the expected value is based on a value associated with the item and the probability. The score for each item is boosted based on the item category, retailer type, or a user segment that is based on the user's historical order data. The items are ranked based on the boosted scores and the ranking is sent to the client device.


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