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. 25, 2026

Filed:

Jun. 15, 2020
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Weize Kong, Mountain View, CA (US);

Michael Bendersky, Cupertino, CA (US);

Marc Najork, Palo Alto, CA (US);

Rama Kumar Pasumarthi, Mountain View, CA (US);

Zhen Qin, Mountain View, CA (US);

Rolf Jagerman, Diemen, NL;

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/9535 (2019.01); G06F 16/9538 (2019.01); G06F 40/30 (2020.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 16/9535 (2019.01); G06F 16/9538 (2019.01); G06N 20/00 (2019.01);
Abstract

Systems and methods of the present disclosure are directed to a method for training a machine-learned semantic matching model. The method can include obtaining a first and second document and a first and second activity log. The method can include determining, based on the first document activity log and the second document activity log, a relation label indicative of whether the documents are related. The method can include inputting the documents into the model to receive a semantic similarity value representing an estimated semantic similarity between the first document and the second document. The method can include evaluating a loss function that evaluates a difference between the relation label and the semantic similarity value. The method can include modifying values of parameters of the model based on the loss function.


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