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:
Dec. 18, 2018

Filed:

Feb. 03, 2016
Applicant:

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

Inventors:

Rousseau Newaz Kazi, San Francisco, CA (US);

Mark Andrew Rich, Redwood City, CA (US);

Christina Joan Sauper, San Francisco, CA (US);

Amaç Herda{hacek over (g)}delen, Mountain View, CA (US);

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

Brett Matthew Westervelt, Menlo Park, CA (US);

Maykel Andreas Louisa Jozef Anna Loomans, San Francisco, CA (US);

Adam Eugene Bussing, San Francisco, CA (US);

Shuyi Zheng, Fremont, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G06F 17/30 (2006.01); H04L 12/58 (2006.01); H04L 29/08 (2006.01); G06Q 50/00 (2012.01); H04L 29/06 (2006.01);
U.S. Cl.
CPC ...
G06F 17/30705 (2013.01); G06F 17/30684 (2013.01); G06F 17/30867 (2013.01); G06F 17/30958 (2013.01); G06Q 50/01 (2013.01); H04L 51/12 (2013.01); H04L 51/32 (2013.01); H04L 67/02 (2013.01); H04L 67/20 (2013.01); H04L 67/306 (2013.01); H04L 63/102 (2013.01);
Abstract

In one embodiment, a method includes accessing a plurality of communications, each communication being associated with a particular content item and including a text of the communication; extracting, for each of the communications, quotations from the text of the communication; determining, for each extracted quotation, partitions of the quotation; grouping the extracted quotations into clusters based on a respective degree of similarity among their respective partitions; calculating a cluster-score for each cluster based on a frequency of occurrence of partitions of quotations in the cluster in the communications; and generating a quotations-module comprising representative quotations, each representative quotation being a quotation from a cluster having a cluster-score greater than a threshold cluster-score.


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