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. 31, 2021

Filed:

Sep. 29, 2017
Applicant:

Facebook, Inc., Menlo Park, CA (US);

Inventors:

Andrew Donald Yates, San Francisco, CA (US);

Gunjit Singh, San Francisco, CA (US);

Kurt Dodge Runke, Los Altos, CA (US);

Assignee:

Facebook, Inc., Menlo Park, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 5/04 (2006.01); G06N 20/00 (2019.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); H04L 29/08 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 3/0454 (2013.01); G06N 3/084 (2013.01); G06N 5/04 (2013.01); H04L 67/10 (2013.01);
Abstract

An online system uses multiple machine learning models to select content for providing to a user of the online system. Specifically, the online system trains a general model that intakes a first set of features and outputs predictions at a general level. The online system further trains a residual model that intakes a second set of features. The residual model predicts a residual (e.g., an error) of the predictions outputted by the general model. Therefore, the predicted residual from the residual model is combined with the prediction from the general model in order to correct for the over-generality of the general model. The online system may use the combined prediction to send content to users.


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