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In this chapter, we propose leveraging multimodal features to model user diverse preferences. Specifically, we present a novel Multimodal Attentive Metric Learning (MAML) method for capturing users’ diverse preferences.

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User Diverse Preference Modeling by Multimodal Attentive Metric Learning

  • 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 leveraging multimodal features to model user diverse preferences. Specifically, we present a novel Multimodal Attentive Metric Learning (MAML) method for capturing users’ diverse preferences.