SYSTEM AND METHOD FOR A PERSONALIZED SEARCH AND DISCOVERY ENGINE

A system and method for a content-centric personalized recommendation engine that includes processing user data comprised of user feature data as input to a user neural network model and yielding a user embedding; processing the user embedding through a matchmaking neural network, which is a trained...

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Bibliographic Details
Main Authors Hsieh, Cheng-Kang, Gunasekara, Lasantha Lucky, Chen, Chih-Ming
Format Patent
LanguageEnglish
Published 10.06.2021
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:A system and method for a content-centric personalized recommendation engine that includes processing user data comprised of user feature data as input to a user neural network model and yielding a user embedding; processing the user embedding through a matchmaking neural network, which is a trained model to map user embeddings and content embeddings to a shared dimensional space, and yielding a user shared-item embedding; and applying analysis of the user shared-item embedding in selecting at least one content item associated with a content shared-item embedding within the matchmaking neural network.
Bibliography:Application Number: US202017116565