English(EN) Constrained user-item allocation for e-commerce marketing campaigns

新的自动定向方法优化电子商务营销活动

作者 PulseAugur 编辑部 · [2 个来源] · 2026-06-08 15:26

研究人员开发了一种名为自动定向的新方法，通过联合选择用户和商品来优化电子商务营销活动。该方法使用约束谱双聚类、贪婪局部搜索和多臂老虎机框架来创建具有强用户-商品亲和力的不相交活动。在合成和真实数据集上的评估表明，双聚类能产生高质量、公平的活动，而老虎机方法为更大的数据集提供了可扩展性。 AI

影响通过联合优化用户和商品选择以提高营销活动性能，引入了一种个性化营销的新颖方法。

排序理由该集群包含一篇详细介绍新方法的学术论文。

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

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arXiv cs.LG TIER_1 English(EN) · Maja Lindstr\"om, Natalija Glisovic, Jan von Pichowski, Tommy L\"ofstedt, Martin Rosvall · 2026-06-09 04:00

面向电子商务营销活动的受限用户-商品分配

arXiv:2606.09623v1 Announce Type: new Abstract: When running marketing campaigns, retailers must decide which products to promote and which users to target. These decisions are inherently coupled: effective campaigns match users and items with strong mutual affinity into non-over…
arXiv cs.LG TIER_1 English(EN) · Martin Rosvall · 2026-06-08 15:26

面向电子商务营销活动的受限用户-商品分配

When running marketing campaigns, retailers must decide which products to promote and which users to target. These decisions are inherently coupled: effective campaigns match users and items with strong mutual affinity into non-overlapping groups of predefined sizes. However, exi…