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. 24, 2018

Filed:

Aug. 20, 2010
Applicants:

Michael Bigby, Sunnyvale, CA (US);

Lucian Vlad Lita, Sunnyvale, CA (US);

Kurt Peterson, San Jose, CA (US);

Maojin Jiang, Mountain View, CA (US);

Guohan Gao, San Jose, CA (US);

Todd Enerson, San Mateo, CA (US);

Inventors:

Michael Bigby, Sunnyvale, CA (US);

Lucian Vlad Lita, Sunnyvale, CA (US);

Kurt Peterson, San Jose, CA (US);

Maojin Jiang, Mountain View, CA (US);

Guohan Gao, San Jose, CA (US);

Todd Enerson, San Mateo, CA (US);

Assignee:

BLUE KAI, INC., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2012.01); G06Q 30/02 (2012.01);
U.S. Cl.
CPC ...
G06Q 30/02 (2013.01); G06Q 30/0251 (2013.01); G06Q 30/0254 (2013.01);
Abstract

A system, method, apparatus, and processor readable storage media are described for real-time computation of statistics between audiences including, but not limited to, correlations, comparative metrics, and/or other statistical analysis for the audiences. Embodiments enable a user to specify a query that defines a specific audience for analysis in real-time. A past time period may be determined that indicates the amount of historical data that is to be analyzed to generate the statistical comparisons and/or correlations. Employing the user-specified query, statistical comparisons and/or correlation may be provided, based on an analysis of retrieved historical audience data for the time period. Embodiments may also enable a user to generate new statistics in real-time through modification of the audience in one or more iterations. Embodiments may also enable a user to filter, sort, and search through audiences by setting desired statistical boundaries for the resulting audience set.


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