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. 13, 2024

Filed:

May. 28, 2020
Applicant:

Comcast Cable Communications, Llc, Philadelphia, PA (US);

Inventors:

Robert Alan Bress, New Providence, NJ (US);

Christopher Paul Whitely, Summit, NJ (US);

Zhao Xing, Philadelphia, PA (US);

Assignee:

Comcast Cable Communications, LLC, Philadelphia, PA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 21/466 (2011.01); H04N 21/45 (2011.01); H04N 21/442 (2011.01); G06N 3/08 (2023.01); G06N 3/06 (2006.01); G06N 7/01 (2023.01);
U.S. Cl.
CPC ...
H04N 21/4666 (2013.01); G06N 3/061 (2013.01); G06N 3/08 (2013.01); G06N 7/01 (2023.01); H04N 21/44204 (2013.01); H04N 21/4524 (2013.01); H04N 21/4667 (2013.01);
Abstract

Methods, systems, and apparatuses for determining viewership of a content item are described herein. Machine learning techniques may be used to determine which user(s) among a user group at a multi-user location is consuming a content item. A machine learning model may be trained using demographic attributes and content attributes associated with a plurality of single-user locations. A probability engine may train a machine learning model using the demographic attributes and content attributes and one or more machine learning algorithms. The trained machine learning model may be used to determine which user(s) among at least two users is consuming a content item at a multi-user location at which multiple people reside.


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