M3TR: Temporal Retrieval Enhanced Multi-Modal Micro-video Popularity Prediction

Researchers developed M3TR, a new AI framework that uses temporal retrieval and multi-modal analysis to predict micro-video popularity with 19.3% better accuracy than existing methods. The system combines a Mamba-Hawkes Process module to model user feedback patterns with temporal-aware retrieval to identify historically relevant videos based on content and popularity trajectories.