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:
Feb. 18, 2020

Filed:

Oct. 01, 2014
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Viswanathan Swaminathan, Saratoga, CA (US);

Gang Wu, Ames, IA (US);

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04N 21/442 (2011.01); H04N 21/482 (2011.01); H04N 21/81 (2011.01); H04N 21/845 (2011.01); H04L 29/08 (2006.01);
U.S. Cl.
CPC ...
H04N 21/44222 (2013.01); H04L 67/22 (2013.01); H04N 21/44213 (2013.01); H04N 21/4826 (2013.01); H04N 21/812 (2013.01); H04N 21/8456 (2013.01);
Abstract

Content consumption session progress is predicted based on historical observations of how users have interacted with a repository of digital content. This is approached as a matrix completion problem. Information extracted from tracking logs maintained by one or more content providers is used to estimate the extent to which various content items are consumed. The extracted session progress data is used to populate a session progress matrix in which each matrix element represents a session progress for a particular user consuming a particular content item. This matrix, which in principle will be highly (≳95%) sparse, can be completed using a collaborative filtering matrix completion technique. The values obtained as a result of completing the session progress matrix represent predictions with respect to how much of a given content item will be consumed by a given user.


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