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:
Nov. 12, 2013

Filed:

Jan. 21, 2011
Applicants:

Peter Jayaprathap Swamidas, Irving, TX (US);

Ai-sheng Mao, Richardson, TX (US);

Vamshi Gillipalli, Irving, TX (US);

John P. Valdez, Flower Mound, TX (US);

Inventors:

Peter Jayaprathap Swamidas, Irving, TX (US);

Ai-Sheng Mao, Richardson, TX (US);

Vamshi Gillipalli, Irving, TX (US);

John P. Valdez, Flower Mound, TX (US);

Assignee:

Verizon Patent and Licensing Inc., Basking Ridge, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/173 (2006.01);
U.S. Cl.
CPC ...
Abstract

A system for and method of rating a content is presented. The method may include receiving first user data associated with one or more contents for a first predetermined time period and second user data associated with the one or more contents for a second predetermined time period. The method may also include determining a first average of the first user data associated with the one or more contents for the first predetermined time period and a second average of the second user data associated with the one or more contents for the second predetermined time period. The method may further include determining a variance between the first average of the first user data associated with the one or more contents for the first predetermined time period and the second average of the second user data associated with the one or more contents for the second predetermined time period. The method may additionally include determining trend value of the one or more contents based at least in part on the variance between the first average of the first user data associated with the one or more contents for the first predetermined time period and the second average of the second user data associated with the one or more contents for the second predetermined time period.


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