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. 28, 2020

Filed:

Oct. 29, 2015
Applicant:

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

Inventors:

Sumit Shekhar, Bangalore, IN;

Payal Bajaj, Bangalore, IN;

Balaji Vasan Srinivasan, Bangalore, IN;

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04N 21/25 (2011.01); H04N 21/45 (2011.01); H04N 21/462 (2011.01); H04N 21/41 (2011.01); H04N 21/442 (2011.01); H04N 21/2668 (2011.01); H04N 21/258 (2011.01); H04N 21/472 (2011.01);
U.S. Cl.
CPC ...
H04N 21/252 (2013.01); H04N 21/25891 (2013.01); H04N 21/2668 (2013.01); H04N 21/4126 (2013.01); H04N 21/44204 (2013.01); H04N 21/44222 (2013.01); H04N 21/4532 (2013.01); H04N 21/4622 (2013.01); H04N 21/47205 (2013.01);
Abstract

Multiple channels of audio/video (A/V) content in a system are available to users. A channel scoring system uses a user's channel watching behavior and channel browsing behavior to generate a channel preference score for various different channels in the system. The channel watching behavior refers to which channels the user watches. The channel browsing behavior refers to features describing the user's behavior when watching A/V content provided by a channel. Examples of these features include the hour of the day when the user watches the A/V content, the number and length of A/V content provided by the channel watched in a session, device preferences of the user, and so forth. Various actions can be taken based on the generated channel preference scores, such as recommending or otherwise promoting channels to the user.


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