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English(EN) TimeRoute: Time-Aware Modality Routing and Diffusion for Multi-Modal Recommendation

TimeRoute系统通过适应时间变化来个性化多模态推荐

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了TimeRoute，一种新颖的基于扩散的推荐系统，旨在解决多模态推荐中模态效用随时间变化的问题。与使用静态融合权重的先前方法不同，TimeRoute采用时间感知的模态路由器，根据用户行为和时间上下文个性化模态分布。该系统还利用具有双流去噪头的特征级线性调制（FiLM）来抑制过时信号。在TikTok、Amazon-Baby和Amazon-Sports数据集上的实验显示，推荐指标有了显著的改进。 AI

影响 这项研究通过适应用户偏好和物品特征随时间的变化，有望带来更具个性化和更有效的推荐系统。

排序理由 该集群描述了一篇新研究论文，该论文发布在arXiv上，详细介绍了一种用于多模态推荐系统的新颖算法。

在 arXiv cs.IR (Information Retrieval) 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

TimeRoute系统通过适应时间变化来个性化多模态推荐

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该集群描述了一篇新研究论文，该论文发布在arXiv上，详细介绍了一种用于多模态推荐系统的新颖算法。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Pengyu Zhang, Yangqin Jiang, Klim Zaporojets, Congfeng Cao, Paul Groth ·

    TimeRoute: 面向多模态推荐的时间感知模态路由与扩散

    arXiv:2608.10983v1 Announce Type: cross Abstract: Multi-modal recommenders fuse collaborative signals with item modalities such as text, images, and audio, but the usefulness of each drifts over time and at different rates. For example, chocolate purchases typically guided by tex…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Paul Groth ·

    TimeRoute：面向多模态推荐的时间感知模态路由与扩散

    Multi-modal recommenders fuse collaborative signals with item modalities such as text, images, and audio, but the usefulness of each drifts over time and at different rates. For example, chocolate purchases typically guided by textual ingredient cues can shift toward visual packa…

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