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UTILIZING A TRAINED MULTI-MODAL COMBINATION MODEL FOR CONTENT AND TEXT-BASED EVALUATION AND DISTRIBUTION OF DIGITAL VIDEO CONTENT TO CLIENT DEVICES

机译:利用训练有素的多模态组合模型进行内容和文本的评估,并将数字视频分配给客户设备

摘要

The present disclosure relates to systems, methods, and computer readable media that utilize a trained multi-modal combination model for content and text-based evaluation and distribution of digital video content to client devices. For example, systems described herein include training and/or utilizing a combination of trained visual and text-based prediction models to determine predicted performance metrics for a digital video. The systems described herein can further utilize a multi-modal combination model to determine a combined performance metric that considers both visual and textual performance metrics of the digital video. The systems described herein can further select one or more digital videos for distribution to one or more client devices based on combined performance metrics associated with the digital videos.
机译:本公开涉及利用训练有素的多模式组合模型进行内容和基于文本的评估以及将数字视频内容分发到客户端设备的系统,方法和计算机可读介质。例如,本文描述的系统包括训练和/或利用训练后的基于视觉和文本的预测模型的组合来确定数字视频的预测性能指标。本文描述的系统可以进一步利用多模式组合模型来确定考虑了数字视频的视觉和文本性能指标的组合性能指标。本文所述的系统还可基于与数字视频相关联的组合性能指标来选择一个或多个数字视频以分发给一个或多个客户端设备。

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