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. 09, 2020

Filed:

Dec. 28, 2016
Applicant:

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

Inventor:

Si Chen, Mountain View, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/903 (2019.01); G06Q 30/02 (2012.01); H04L 29/08 (2006.01); G06N 20/00 (2019.01); G06Q 50/00 (2012.01); G06F 16/9535 (2019.01); G06Q 30/06 (2012.01); H04L 12/58 (2006.01);
U.S. Cl.
CPC ...
G06F 16/90335 (2019.01); G06F 16/9535 (2019.01); G06N 20/00 (2019.01); G06Q 30/02 (2013.01); G06Q 30/06 (2013.01); G06Q 50/01 (2013.01); H04L 67/26 (2013.01); H04L 67/306 (2013.01); H04L 51/32 (2013.01); H04L 67/20 (2013.01);
Abstract

An online system selects a number of content items and presents the selected content items through a feed to a target user, where each selected candidate content item is likely to cause the target user to post his/her new content in response to the selected candidate content item within a short period of time. The online system selects the candidate content items for presentation through the feed using a trained post session prediction model. A ranking score for a candidate content item is determined based on a probability value indicating likelihood that the candidate content item causes the target user to post new content. The probability value is determined by applying a trained model to user features of the target user and content features of the candidate content item. The online system ranks the candidate content items based on their ranking scores and present the feed to the target user.


Find Patent Forward Citations

Chen, Si. (2020). Personalized post session model for an online system (U.S. Patent No. 10678861). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/10678861

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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