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:
Feb. 01, 2022

Filed:

Jun. 11, 2018
Applicant:

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

Inventors:

Yucheng Liu, Fremont, CA (US);

Robert Oliver Burns Zeldin, Los Altos, CA (US);

Yi Liu, Fremont, CA (US);

Assignee:

Meta Platforms, Inc., Menlo Park, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/02 (2012.01); G06Q 10/06 (2012.01); G06N 20/00 (2019.01); H04L 29/08 (2006.01); G06N 7/00 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 7/005 (2013.01); H04L 67/10 (2013.01);
Abstract

An online system performs distributes content items received from content provider systems. The online system selects content items for sending to users based on values associated with user actions performed by users responsive to accessing the content items. The online system uses machine learning based models for predicting expected values of user actions associated with content items. The machine learning model may be a neural network model with a shared component and a plurality of dedicated components, each dedicated component trained to predict a term used for determining the expected value. The neural network is trained using labeled data where the labels are normalized expected values. The online system performs calibration of the predicted values to determine a denormalized value for use in selecting content items for delivery to users.


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