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:
Jan. 31, 2023

Filed:

Jun. 30, 2020
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Geoffrey T. Ebersol, Woodinville, WA (US);

Jeff West, Seattle, WA (US);

Benjamin D. Kelly, Seattle, WA (US);

Aaron M. Butcher, Redmond, WA (US);

Felix G. T. I. Andrew, Seattle, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/9535 (2019.01); G06F 16/483 (2019.01); G06N 20/00 (2019.01); G06F 16/951 (2019.01); G06F 16/9538 (2019.01);
U.S. Cl.
CPC ...
G06F 16/9535 (2019.01); G06F 16/483 (2019.01); G06F 16/951 (2019.01); G06F 16/9538 (2019.01); G06N 20/00 (2019.01);
Abstract

Methods, systems and computer program products are provided for spoiler prevention. Media consumption applications may be placed in 'spoiler-free' mode, for example, to prevent media content from spoiling first-hand user experience. A user may provide and/or authorize access to and use of spoiler prevention information. A user may request media content (e.g., while surfing the Internet). Digital media content to be presented to a user may be searched in real-time and/or pre-searched for spoiler content and/or associated spoiler indications relative to spoiler prevention information. Identified spoiler content may be concealed from users. A procedure may be provided for users to determine one or more reasons why content is concealed, to selectively reveal concealed content, and to provide feedback whether concealed content was or was not spoiler content for a user. Feedback may be used to improve spoiler prevention, for example, by retraining a machine learning model, which may be user-specific.


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