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:
May. 16, 2023

Filed:

Oct. 15, 2020
Applicant:

Charter Communications Operating, Llc, St. Louis, MO (US);

Inventor:

Srilal M. Weerasinghe, Parker, CO (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 21/442 (2011.01); H04N 21/466 (2011.01); H04N 21/81 (2011.01); G06F 16/23 (2019.01); H04N 21/643 (2011.01); G06N 20/00 (2019.01); G06Q 30/0242 (2023.01); H04N 21/45 (2011.01);
U.S. Cl.
CPC ...
H04N 21/4667 (2013.01); G06F 16/23 (2019.01); G06N 20/00 (2019.01); G06Q 30/0246 (2013.01); H04N 21/44222 (2013.01); H04N 21/4532 (2013.01); H04N 21/4662 (2013.01); H04N 21/4668 (2013.01); H04N 21/64322 (2013.01); H04N 21/812 (2013.01);
Abstract

Methods and systems for determining and using disliked content are described. The method includes obtaining, by a service provider system, channel viewing data from a user device of a user, pre-processing, by a content analysis unit, the channel viewing data to mitigate inaccuracies and inconsistencies in the channel viewing data, scaling, by the content analysis unit, the pre-processed channel viewing data to highlight temporal dislike aspects of the pre-processed channel viewing data, applying, by the content analysis unit, machine learning algorithms to the scaled channel viewing data to generate a disliked content ratings matrix, and outputting, by the content analysis unit to user interface systems in the service provider system, to provide enhanced user viewing. The user interface systems including a recommender system, an alternate content generation system, or both.


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