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:
Apr. 20, 2021

Filed:

Nov. 14, 2019
Applicant:

Verizon Patent and Licensing Inc., Arlington, VA (US);

Inventors:

Jaskirat Singh Randhawa, Brooklyn, NY (US);

Abdul Mahmood, Union, NJ (US);

Gary Sztajnman, Brooklyn, NY (US);

Can Tatar, Jersey City, NJ (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 21/466 (2011.01); G06F 16/735 (2019.01); G06F 16/738 (2019.01); G06F 16/71 (2019.01); H04N 21/482 (2011.01); H04N 21/8549 (2011.01); H04N 21/84 (2011.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
H04N 21/4668 (2013.01); G06F 16/71 (2019.01); G06F 16/735 (2019.01); G06F 16/738 (2019.01); G06N 3/08 (2013.01); H04N 21/4666 (2013.01); H04N 21/4667 (2013.01); H04N 21/4821 (2013.01); H04N 21/84 (2013.01); H04N 21/8549 (2013.01);
Abstract

A device receives content data associated with a collection of content that is available to a user. The device determines, by processing the content data using a first data model that has been trained using machine learning, measures of likelihoods that the user will be receptive to each respective content of the collection of content. The device determines a duration during which the user is predicted to engage in a content watching session by using a second data model to process at least a portion of the content data. The device determines measures of utility that correspond to the collection of content and that measure utility that each respective content is predicted to have to the user during the content watching session. The device determines content recommendations for the user based on the measures of utility and causes at least one content recommendation to be displayed.


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