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. 12, 2020

Filed:

Nov. 22, 2016
Applicant:

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

Inventors:

Soorya Vamsi Mohan Tanikella, Redmond, WA (US);

Li-Tal Mashiach, Redmond, WA (US);

Ivan Mazepov, Seattle, WA (US);

Apurva Sinha, Seattle, WA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/2457 (2019.01); G06F 16/28 (2019.01); G06F 16/9535 (2019.01); G06Q 10/10 (2012.01); G06Q 50/00 (2012.01); G06Q 30/02 (2012.01); H04L 29/08 (2006.01);
U.S. Cl.
CPC ...
G06F 16/24578 (2019.01); G06F 16/285 (2019.01); G06F 16/9535 (2019.01); G06Q 10/10 (2013.01); G06Q 30/0241 (2013.01); G06Q 50/01 (2013.01); H04L 67/18 (2013.01);
Abstract

In one embodiment, a method includes identifying a trending topic on an online social network, accessing a plurality of content objects posted to the online social network, wherein each content object is associated with the trending topic, and categorizing each content object into clusters based on a natural-language analysis of the content objects. The method may further include calculating a quality score for each cluster, wherein the quality score for each cluster is based at least on a measure of recency of one or more publication dates of the content objects within the cluster, select the cluster with the highest quality score as a trending cluster, and generating a trending-topic interface that includes a headline and description of the trending topic, wherein the headline and description are extracted from one or more of the content objects within the trending cluster.


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