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. 09, 2024

Filed:

May. 31, 2018
Applicant:

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

Inventors:

Danilo L. Benzatti, Redmond, WA (US);

Rajasi Saha, Sammamish, WA (US);

Christopher J. Mallery, Kirkland, WA (US);

Michael Y. Moon, Bellevue, WA (US);

Saliha Azzam, Redmond, WA (US);

Xiaoguang Qi, Bellevue, WA (US);

Harish Jayanti, Redmond, WA (US);

Jayaram N. M. Nanduri, Issaquah, WA (US);

Chad A. Zanonie, Clyde Hill, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/438 (2019.01); G06F 16/9535 (2019.01); H04N 21/466 (2011.01); H04N 21/482 (2011.01); G06F 16/435 (2019.01);
U.S. Cl.
CPC ...
G06F 16/9535 (2019.01); G06F 16/438 (2019.01); H04N 21/4662 (2013.01); H04N 21/4668 (2013.01); H04N 21/4826 (2013.01); G06F 16/435 (2019.01);
Abstract

Methods, systems, apparatuses, and computer program products are described for providing content recommendations to a requestor. In implementations, user event records associated with media items and content types may be stored, for instance, in an event catalog. A set of user scores may be generated based on a user-content score model and the user event records, where each generated user score represents an affinity between a user and a corresponding content type of the plurality of content types. A set of title scores may also be generated for a media item based on a title-content score model, where each generated title score represents an affinity between the media item and a corresponding content type. In response to a request, the sets of scores may be combined to generate a set of content recommendations to provide to the requestor.


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