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In this chapter, using micro-videos as an example, we study the issues involved in multimodal fusion mentioned above. We propose a dynamic multimodal fusion method that treats the multimodal fusion of each item as an independent task. More specifically, we develop a novel meta-learning-based multimodal fusion model, named Meta Multimodal Fusion (MetaMMF), to dynamically integrate multimodal information for micro-video recommendation.

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Dynamic Multimodal Fusion via Meta-Learning Towards Multimodal Recommendation

  • 章节

  • 发表日期：

    2025年

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  • Fan Liu,
  • Zhenyang Li,
  • Liqiang Nie

摘要

In this chapter, using micro-videos as an example, we study the issues involved in multimodal fusion mentioned above. We propose a dynamic multimodal fusion method that treats the multimodal fusion of each item as an independent task. More specifically, we develop a novel meta-learning-based multimodal fusion model, named Meta Multimodal Fusion (MetaMMF), to dynamically integrate multimodal information for micro-video recommendation.