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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.

Patent No.:

US 12210591 B1

PDFFull Text
Date of Patent:
Jan. 28, 2025

Filed:

Aug. 19, 2021

Weakly supervised extraction of attributes from unstructured data to generate training data for machine learning models

Applicant:

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

Inventors:

Shih-Ting Lin, Austin, TX (US);

Jonathan Newman, Menlo Park, CA (US);

Min Xie, Santa Clara, CA (US);

Haixun Wang, Palo Alto, CA (US);

Assignee:

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

Attorney:

Fenwick & West LLP

Primary Examiner:

Michael J Vanchy, Jr

Int. Cl.
CPC ...
G06K 9/62 (2022.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/23 (2023.01); G06Q 30/06 (2023.01); G06Q 30/0601 (2023.01);
U.S. Cl.
CPC ...
G06F 18/23 (2023.01); G06F 18/214 (2023.01); G06F 18/2178 (2023.01); G06F 18/22 (2023.01); G06Q 30/0641 (2013.01);
Abstract

An online concierge system receives unstructured data describing items offered for purchase by various warehouses. To generate attributes for products from the unstructured data, the online concierge system extracts candidate values for attributes from the unstructured data through natural language processing. One or more users associate a subset candidate values with corresponding attributes, and the online concierge system clusters the remaining candidate values with the candidate values of the subset associated with attributes. One or more users provide input on the accuracy of the generated clusters. The candidate values are applied as labels to items by the online concierge system, which uses the labeled items as training data for an attribute extraction model to predict values for one or more attributes from unstructured data about an item.

Find Patent Forward Citations

Lin, Shih-Ting. (2025). Weakly supervised extraction of attributes from unstructured data to generate training data for machine learning models (U.S. Patent No. 12210591). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12210591

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

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