English(EN) Topology-Masked Unified Backbone for Joint Feature Interaction and Multi-Domain Sequence Modeling

MaskRec架构统一特征交互和序列建模以进行CVR预测

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-27 11:49

研究人员推出了一种新颖的架构MaskRec，旨在提高大规模广告系统中点击后转化率（CVR）预测的性能。该统一框架在一个模型中集成了异构特征交互和多域用户行为序列。MaskRec利用一种称为TopoMask的拓扑掩码注意力机制来选择性地管理信息流，从而能够更有效地建模各种数据源。在腾讯广告算法竞赛数据集上进行的实验表明，MaskRec的性能显著优于现有基线，凸显了其在工业CVR预测中的有效性。 AI

影响该架构可以通过更好地建模用户行为来提高广告定位系统的效率和准确性。

排序理由该条目是一篇研究论文，详细介绍了一种新模型架构。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.IR (Information Retrieval) 阅读 →

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arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Shuaishuai Guo · 2026-08-27 11:49

用于联合特征交互和多域序列建模的拓扑掩码统一骨干网络

Large-scale post-click conversion rate (CVR) prediction requires jointly modeling heterogeneous feature interactions and dependencies over multi-domain user behavior sequences. Existing industrial ranking models usually handle these two aspects with separate modules. Recent unifi…

本文如何被排名

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用于联合特征交互和多域序列建模的拓扑掩码统一骨干网络

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