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:
Sep. 01, 2020

Filed:

Jul. 17, 2017
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Matteo Venanzi, Southampton, GB;

John Philip Guiver, Saffron Walden, GB;

Gabriella Kazai, Bishops Stortford, GB;

Pushmeet Kohli, Cambridge, GB;

Milad Shokouhi, Cambridge, GB;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06Q 10/06 (2012.01); G06N 7/00 (2006.01); G06N 5/04 (2006.01); H04L 12/58 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 5/043 (2013.01); G06N 7/005 (2013.01); G06Q 10/06311 (2013.01); H04L 51/12 (2013.01);
Abstract

Crowdsourcing systems with machine learning are described. Specifically, item-label inference methods and systems are presented, for example, to provide aggregated answers to a crowdsourced task in a manner achieving good accuracy even where observed data about past behavior of crowd members is sparse. In various examples, an item-label inference system infers variables describing characteristics of both individual crowd workers and communities of the workers. In various examples, an item-label inference system provides aggregated labels while considering the inferred worker characteristics and the inferred characteristics of the worker communities. In examples the item-label inference system provides uncertainty information associated with the inference results for selecting workers and generating future tasks.


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