FEATURE DISTILLATION FOR CLASSIFICATION OF MEDIA CONTENT
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United States of America
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Issued Date -
Dec 26, 2024
app pub date -
Aug 29, 2024
filing date -
Aug 29, 2024
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Abstract
Embodiments of the present disclosure provide a solution for classifying a media content. A method comprises: determining a set of target features of a target media content based on first content data of the target media content; and processing, using a first classification model, the set of target features of the media content to generate classification information for the target media content, the first classification model being trained through distilling a second classification model, the second classification model being configured to generate classification information of a first training media content based on both a first set of features and a second set of features of the first training media content, the first set of features being determined based on second content data of the first training media content, and the second set of features being determined based on interaction data associated with the first training media content.
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