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:
Oct. 13, 2026

Filed:

Dec. 21, 2023
Applicant:

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

Inventors:

Jonathan Gu, San Francisco, CA (US);

Bo Xiao, Hillsborough, CA (US);

Yixi Ouyang, Milpitas, CA (US);

Jennifer Wiersema, Oakland, CA (US);

Ying Li, San Francisco, CA (US);

Matias Cersosimo, Stanford, CA (US);

Rustin Partow, San Francisco, CA (US);

Levi Boxell, Brownsburg, IN (US);

Tilman Drerup, Palo Alto, CA (US);

Oleksii Stepanian, San Francisco, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2023.01); G06Q 30/0242 (2023.01); G06Q 30/0601 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0631 (2013.01); G06Q 30/0245 (2013.01);
Abstract

A ranking computer model is trained based on grouping a collection of users of an online system into different buckets based on intended likelihoods of presenting a set of content items to the collection of users, wherein a contextual bandit model is employed to compute the intended likelihoods. The online system applies the ranking computer model to generate, based on user data for a user of the online system and contextual data associated with a current session of the user, a ranking score for each content item in a set of content items. The online system selects, based on the ranking score for each content item, one or more content items from the set of content items. The online system causes a device associated with the user to display a user interface with the one or more content items for recommendation to the user.


Find Patent Forward Citations

Gu, Jonathan. (2026). Training data generation by bucketing users based on output of a contextual bandit model (U.S. Patent No. 12762598). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12762598

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

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