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:
Jun. 18, 2019

Filed:

Dec. 05, 2016
Applicant:

Google Llc, Mountain View, CO (US);

Inventors:

Javier Spagnolo Arrizabalaga, Zurich, CH;

Malte Nuhn, Zurich, CH;

Quoc V. Le, Sunnyvale, CA (US);

Daniel Duckworth, Salinas, CA (US);

Matthias Heiler, Zurich, CH;

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06F 16/95 (2019.01); G06F 16/958 (2019.01); G06F 16/9535 (2019.01);
U.S. Cl.
CPC ...
G06F 16/9535 (2019.01); G06F 16/95 (2019.01); G06F 16/958 (2019.01); G06N 3/08 (2013.01);
Abstract

Methods, systems, and apparatus including computer programs encoded on a computer storage medium, for augmenting search engine index that indexes resources from a collection of resources. In one aspect, a method of augmenting a first search engine index that indexes resources from a first collection of resources includes the actions of identifying a first resource, in the first collection of resources, that is indexed in the first search engine index for which a value of a search engine ranking signal is not available, wherein a search engine uses values of the search engine ranking signal in ranking resources in response to received search queries; processing text from the first resource using a machine learning model, the machine learning model being configured to: process the text to predict a value of the search engine ranking signal for the first resource; and updating the first search engine index by associating the predicted value of the search engine ranking signal with the first resource in the first search engine index.


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