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:
May. 25, 2021

Filed:

Oct. 13, 2017
Applicant:

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

Inventors:

Liang Xiong, Fremont, CA (US);

Yan Zhu, Menlo Park, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2006.01); G06F 7/08 (2006.01); G06N 3/08 (2006.01); G06N 5/02 (2006.01); G06Q 30/02 (2012.01); G06Q 50/00 (2012.01); G06Q 10/10 (2012.01);
U.S. Cl.
CPC ...
G06N 3/04 (2013.01); G06F 7/08 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 5/022 (2013.01); G06Q 30/0242 (2013.01); G06F 2207/4824 (2013.01); G06Q 10/10 (2013.01); G06Q 50/01 (2013.01);
Abstract

For a content item with unknown tasks performed by a viewing user on an online system, the online system predicts a likelihood of interacting with each content item using a prediction model associated with a plurality of tasks. The prediction model comprises a plurality of independent layers, a plurality of shared layers and a plurality of separate layers. Each independent layer is configured to extract features, for each task, that are not shared across the plurality of tasks. The plurality of shared layers are configured to extract common features that are shared across the plurality of tasks. Each separate layer is configured to predict likelihood of the viewing user performing a task associated with the separate layer based on the features extracted from the plurality of independent layers and the plurality of shared layers.


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