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:
Jul. 01, 2025

Filed:

Jul. 07, 2023
Applicant:

Wesco Distribution, Inc., Pittsburgh, PA (US);

Inventors:

Kishor Saitwal, Sugar Land, TX (US);

Shashi Dande, Spring, TX (US);

Raja Vikram Raj Pandya, Katy, TX (US);

Avinash Wesley, New Caney, TX (US);

Rafael Da Matta Navarro, Houston, TX (US);

Merwan Mereby, Baton Rouge, LA (US);

Ashok Bajaj, Katy, TX (US);

Akash Khurana, Houston, TX (US);

Assignee:

Wesco Distribution, Inc., Pittsburgh, PA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/9536 (2019.01); G06F 16/9532 (2019.01); G06F 16/954 (2019.01);
U.S. Cl.
CPC ...
G06F 16/9536 (2019.01); G06F 16/9532 (2019.01); G06F 16/954 (2019.01);
Abstract

Systems, methods, and computer-readable storage media for reinforcing and modifying the search engine behavior using aspects of federated learning. A system can receive from a user at a first time, a query for a product, then generate a vector representation of the query, and execute a search of an embedding space for the vector representation, resulting in at least one similarity score for at least one product. The system can present to the user search results based on the at least one similarity score, and receive from the user a selected product from within the search results. The system can update, based on the selected product, the at least one similarity score for the selected product, resulting in at least one updated similarity score, where when the query is received again the search of the embedding space for the vector representation produces the at least one updated similarity score.


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