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. 22, 2021

Filed:

Nov. 21, 2017
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Balakrishnan Varadarajan, Mountain View, CA (US);

George Dan Toderici, Mountain View, CA (US);

Apostol Natsev, Sunnyvale, CA (US);

Weilong Yang, Mountain View, CA (US);

John Burge, Santa Clara, CA (US);

Sanketh Shetty, Sunnyvale, CA (US);

Omid Madani, San Carlos, CA (US);

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/2457 (2019.01); G06F 16/28 (2019.01); G06F 16/78 (2019.01); G06F 40/169 (2020.01); G06F 40/295 (2020.01);
U.S. Cl.
CPC ...
G06F 16/24578 (2019.01); G06F 16/285 (2019.01); G06F 16/78 (2019.01); G06F 40/169 (2020.01); G06F 40/295 (2020.01);
Abstract

Facilitating of content entity annotation while maintaining joint quality, coverage and/or completeness performance conditions is provided. In one example, a non-transitory computer-readable medium comprises computer-readable instructions that, in response to execution, cause a computing system to perform operations. The operations include aggregating information indicative of initial entities for content and initial scores associated with the initial entities received from one or more content annotation sources and mapping the initial scores to respective values to generate calibrated scores. The operations include applying weights to the calibrated scores to generate weighted scores and combining the weighted scores using a linear aggregation model to generate a final score. The operations include determining whether to annotate the content with at least one of the initial entities based on a comparison of the final score and a defined threshold value.


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