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:
Aug. 04, 2026

Filed:

Feb. 09, 2023
Applicant:

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

Inventors:

Paul Baltescu, San Mateo, CA (US);

Andrew Huan Zhai, San Mateo, CA (US);

Haoyu Chen, Sunnyvale, CA (US);

Jurij Leskovec, Stanford, CA (US);

Nikil Pancha, San Francisco, CA (US);

Charles Joseph Rosenberg, Cupertino, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2023.01); G06F 16/901 (2019.01); G06F 16/9038 (2019.01); G06Q 30/0601 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0631 (2013.01); G06F 16/9024 (2019.01); G06F 16/9038 (2019.01);
Abstract

Described are systems and methods for providing a multi-tasked trained machine learning model that may be configured to generate product embeddings from multiple types of product information. The exemplary product embeddings may be generated for a corpus of products (e.g., products included in a product catalog, etc.) based on both image information and text information associated with each respective product. Accordingly, the generated product embeddings may be compatible with learned representations of the different types of product information (e.g., image information, text information, etc.) and may be used to create a product index, which can be used to determine and serve product recommendations in connection with multiple different recommendation services that may be configured to receive different types of inputs (e.g., a single image, multiple images, text-based information, etc.).


Find Patent Forward Citations

Loading…