研究人员开发了一个名为SSC-Loop的新框架，以改进带符号的社交推荐系统。该框架通过最大化数据不同层之间的结构一致性来解决结构噪声和数据稀疏性问题。SSC-Loop包含结构一致性、传播一致性和语义一致性模块，在Epinions和Slashdot等数据集上表现强劲。 AI
影响 该框架通过更好地处理嘈杂和稀疏的社交网络数据，有望带来更准确、更鲁棒的推荐系统。
排序理由 该集群包含一篇详细介绍特定AI任务新框架的学术论文。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2607.05952v1 Announce Type: cross Abstract: While signed social recommendation has shown great potential by modeling both trust and distrust relations, its effectiveness is often hindered by structural noise and data sparsity. In this work, we first identify a fundamental i…
While signed social recommendation has shown great potential by modeling both trust and distrust relations, its effectiveness is often hindered by structural noise and data sparsity. In this work, we first identify a fundamental inconsistency across the structural, propagation, a…