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. 02, 2021

Filed:

Dec. 09, 2018
Applicant:

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

Inventors:

Nimish Rameshbhai Shah, Cupertino, CA (US);

Zheng Chen, Mountain View, CA (US);

Lixing Huang, Los Altos, CA (US);

Yang Li, Sunnyvale, CA (US);

Xin Liu, Fremont, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2012.01); G06Q 30/02 (2012.01); G06F 16/901 (2019.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06Q 30/0246 (2013.01); G06F 16/9027 (2019.01); G06N 20/00 (2019.01);
Abstract

An online system obtains a composite prediction associated with a content item indicating a likelihood that a viewing user of the online system will perform a type of conversion associated with the content item via one or more paths of events leading to the type of conversion. The online system obtains the composite prediction based on a tree data structure describing the path(s) of events. Upon identifying an opportunity to present content to the viewing user, the online system identifies the tree data structure corresponding to the type of conversion from multiple tree data structures maintained in the online system and obtains a composite prediction associated with the content item by evaluating and performing operations associated with nodes of the tree data structure while traversing the nodes. The online system then determines whether to present the content item to the viewing user based on the composite prediction.


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