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. 17, 2018

Filed:

Dec. 28, 2015
Applicant:

Apple, Inc., Cupertino, CA (US);

Inventors:

Chris Cornelius, Cupertino, CA (US);

Dominic James Doran Hughes, Menlo Park, CA (US);

Georgios Sofianatos, San Francisco, CA (US);

Gurumurthy D. Ramkumar, Palo Alto, CA (US);

Max Delgadillo, Cupertino, CA (US);

Assignee:

Apple Inc., Cupertino, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/18 (2006.01); G06F 17/30 (2006.01); H04L 29/08 (2006.01); G06N 99/00 (2010.01); H04N 21/262 (2011.01); H04N 21/436 (2011.01); H04N 21/482 (2011.01); H04N 21/6371 (2011.01); H04L 29/06 (2006.01);
U.S. Cl.
CPC ...
G06F 17/30029 (2013.01); G06F 17/3053 (2013.01); G06F 17/30861 (2013.01); G06N 99/005 (2013.01); H04L 65/60 (2013.01); H04L 67/06 (2013.01); H04L 67/10 (2013.01); H04N 21/26258 (2013.01); H04N 21/43615 (2013.01); H04N 21/4825 (2013.01); H04N 21/4826 (2013.01); H04N 21/4828 (2013.01); H04N 21/6371 (2013.01);
Abstract

In one exemplary aspect, a sorted list of scored media content episodes is received with a computing device of a user. Each respective media content episode is scored by an iterative autotuning prediction algorithm, and wherein each element of the sorted list of scored media content episodes comprises a value that represents a likelihood of a user listening to the respective media content episode and a reference to a location of the respective media content episode. A number of bytes of a download iteration for each media content episode is determined based on value that represents a likelihood of the user listening to the respective media content episode and an index of the respective media content episode in the sorted list. It is detected that a mobile device is in the preferred network. The download iteration is implemented for each media content episode when it is detected that the mobile device is in the preferred network.


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