连红瑞

Exploring the Synergetic and Divergent Potentials of Multimodal Semantics for Feature Fusion-based Video Recommendation

Traditional multimodal video recommendation systems typically focus on semantic synergy across modalities (e.g., text, image, video) by employing attention mechanisms to weight and aggregate features, while overlooking the potential benefits of semantic divergence among modalitie...