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In this chapter, we propose an Attribute-Driven Disentangled Representation Learning method (AD-DRL for short), which disentangles factors in user and item representations across various modalities at different levels of attribute granularity.

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Attribute-driven Disentangled Representation Learning for 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, we propose an Attribute-Driven Disentangled Representation Learning method (AD-DRL for short), which disentangles factors in user and item representations across various modalities at different levels of attribute granularity.