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:
Jul. 25, 2017

Filed:

Sep. 30, 2014
Applicant:

Linkedin Corporation, Mountain View, CA (US);

Inventors:

Honglei Zhuang, Urbana, IL (US);

Joel D. Young, Milpitas, CA (US);

Assignee:

LinkedIn Corporation, Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2006.01); G06F 17/24 (2006.01); G06F 17/16 (2006.01); G06F 17/30 (2006.01); G06N 7/00 (2006.01); G06N 99/00 (2010.01); G06Q 50/00 (2012.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G06F 17/241 (2013.01); G06F 17/16 (2013.01); G06F 17/30598 (2013.01); G06F 17/30864 (2013.01); G06K 9/6277 (2013.01); G06N 7/005 (2013.01); G06N 99/005 (2013.01); G06Q 50/01 (2013.01);
Abstract

In order to address annotation bias in batch annotations, obtained via crowdsourcing, on a set of comments on user posts in a social network, a system determines an annotation probability distribution based on a factor-graph model of the batch annotations. In particular, during operation the system computes the factor-graph model that represents relationships between feature vectors that represent the comments and the annotations for the comments. Note that, for a given batch of k comments, the factor-graph model may include a statistically dependent combination of statistically independent models of the interrelationships between the feature vectors and the annotations for the k comments. Then, the system calculates the annotation probability distribution based on model parameters associated with the factor-graph model, a mapping function that maps from the feature vectors to the annotations, and an indicator function that represents the annotations for the comments in the batches.


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