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:
Apr. 29, 2025

Filed:

Jan. 17, 2024
Applicant:

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

Inventors:

Haixun Wang, Bellevue, WA (US);

Taesik Na, Issaquah, WA (US);

Li Tan, Fremont, CA (US);

Jian Li, Santa Clara, CA (US);

Xiao Xiao, San Diego, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/33 (2018.12); G06F 16/334 (2024.12); G06F 16/338 (2018.12); G06N 20/00 (2018.12);
U.S. Cl.
CPC ...
G06F 16/3344 (2018.12); G06F 16/338 (2018.12); G06N 20/00 (2018.12);
Abstract

A system may generate a prompt based in part on a search query from a customer client device. The prompt instructs a machine learned model to provide item predictions. And the model was trained by: converting structured data describing items of an online catalog to annotated text data (unstructured data), generating training examples based in part on the annotated text data, and training the model using the training examples. The system may receive item predictions generated by the prompt being applied to the machine learned model, the item predictions may have corresponding item identifiers. The item predictions are processed to identify a recommended item from the item predictions. The processing includes determining item information for the recommended item using an item identifier associated with the recommended item. The item information is provided to the customer client device.


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