In this chapter, we propose a Disentangled Multimodal Representation Learning (DMRL for short) model, which models users’ preference by considering the different contributions of features from different modalities for each disentangled factor.

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Disentangled Multimodal Representation Learning for Recommendation

  • Fan Liu,
  • Zhenyang Li,
  • Liqiang Nie

摘要

In this chapter, we propose a Disentangled Multimodal Representation Learning (DMRL for short) model, which models users’ preference by considering the different contributions of features from different modalities for each disentangled factor.