AINeutralarXiv – CS AI · 10h ago6/10
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Compressed Video Aggregator: Content-driven Module for Efficient Micro-Video Recommendation
Researchers propose Compressed Video Aggregator (CVA), a lightweight module that improves micro-video recommendation systems by decoupling video processing from preference learning. The method reduces training time and GPU memory by orders of magnitude while maintaining or improving performance through intelligent frame selection based on video titles.