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FunnelCausalNet模型优化优惠券分配以提升转化率和收入

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了FunnelCausalNet，这是一种新颖的提升量估计器，旨在通过联合考虑转化率和收入来优化优惠券分配。该模型将一个二元转化头与一个非负条件价值头相结合，解决了商品总值（GMV）的零膨胀和重尾特性。该方法已在半合成和工业数据集上得到验证，旨在通过考虑补贴感知的投资回报率来提高投资回报率。 AI

影响 这项研究通过提高预测优惠券活动转化率和收入提升量的准确性，可能带来更有效的营销策略。

排序理由 该集群包含一篇详细介绍新模型和方法的学术论文。

在 arXiv cs.IR (Information Retrieval) 阅读 →

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FunnelCausalNet模型优化优惠券分配以提升转化率和收入

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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Yu Zhang (AMap Alibaba Group, Beijing, China), Zhihan Wang (AMap Alibaba Group, Beijing, China), Guanlin Chen (AMap Alibaba Group, Beijing, China), Min Jiang (AMap Alibaba Group, Beijing, China), Shuai Li (AMap Alibaba Group, Beijing, China) ·

    FunnelCausalNet：面向多层级优惠券分配的漏斗感知联合转化-收入提升

    arXiv:2608.11675v1 Announce Type: new Abstract: Coupon campaigns seek to lift both conversion and revenue, but gross merchandise value (GMV) follows a deterministic funnel from conversion to conditional order value and is zero-inflated and heavy-tailed. We propose FunnelCausalNet…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Shuai Li ·

    FunnelCausalNet：面向多层级优惠券分配的漏斗感知联合转化-收入提升

    Coupon campaigns seek to lift both conversion and revenue, but gross merchandise value (GMV) follows a deterministic funnel from conversion to conditional order value and is zero-inflated and heavy-tailed. We propose FunnelCausalNet, an uplift estimator coupling a binary conversi…

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