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:
May. 02, 2017

Filed:

Sep. 30, 2010
Applicants:

Jeffrey R. Ashbrook, North Hollywood, CA (US);

Kyle Prestenback, Los Angeles, CA (US);

Evan Acosta, La Crescenta, CA (US);

Brian Kwan, Pasadena, CA (US);

David Jessen, Sherman Oaks, CA (US);

Inventors:

Jeffrey R. Ashbrook, North Hollywood, CA (US);

Kyle Prestenback, Los Angeles, CA (US);

Evan Acosta, La Crescenta, CA (US);

Brian Kwan, Pasadena, CA (US);

David Jessen, Sherman Oaks, CA (US);

Assignee:

Disney Enterprises, Inc., Burbank, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 9/80 (2006.01); H04N 5/775 (2006.01); G06Q 30/02 (2012.01); G06Q 30/06 (2012.01); H04N 5/85 (2006.01); H04N 9/87 (2006.01); H04N 21/426 (2011.01); H04N 21/432 (2011.01); H04N 21/4784 (2011.01); H04N 21/482 (2011.01); H04N 21/658 (2011.01);
U.S. Cl.
CPC ...
G06Q 30/0207 (2013.01); G06Q 30/0631 (2013.01); H04N 5/85 (2013.01); H04N 9/8715 (2013.01); H04N 21/42646 (2013.01); H04N 21/4325 (2013.01); H04N 21/4784 (2013.01); H04N 21/4826 (2013.01); H04N 21/6582 (2013.01);
Abstract

Systems and associated methods for incentivizing content engagement are described. Embodiments provide a recommended feature application to offer premier/recommended content. This can take place at a variety of times, for example during the primary content selection interface display, as well as offering said content interactively as an overlay during the conclusion of a piece of content. Embodiments employ a weighted process for selecting a recommended feature based on one or more stored preference files. The recommended feature application can be utilized across titles.


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