Multi-content recommendation system combining user model, item model and real time signals

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 generate...

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Bibliographic Details
Main Authors Moon, Michael Y, Azzam, Saliha, Zanonie, Chad A, Mallery, Christopher J, Nanduri, Jayaram N. M, Jayanti, Harish, Saha, Rajasi, Benzatti, Danilo L, Qi, Xiaoguang
Format Patent
LanguageEnglish
Published 09.04.2024
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRIC DIGITAL DATA PROCESSING
ELECTRICITY
PHYSICS
PICTORIAL COMMUNICATION, e.g. TELEVISION
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Summary: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.
Bibliography:Application Number: US201815994530