LACRM：LLM 引导挖掘电商广告有向竞争关系
原标题：LACRM: LLM-Guided Mining of Directed Advertiser Competition Relationships in E-Commerce Advertising
AI 摘要
该论文提出 LACRM 框架，利用大语言模型挖掘电商广告中广告主之间的有向竞争关系，构建带连续边强度的有向竞争图。方法包含 LLM 驱动的角色分离画像、非对称多路径检索以及对齐时序竞价行为的 listwise 排序学习。在工业基准离线检索实验中优于有向 GNN 基线，生产 A/B 测试中引导出价与激励分配分别提升广告收入 1.73% 和 1.14%。
正文节选
LACRM: LLM-Guided Mining of Directed Advertiser Competition Relationships in E-Commerce Advertising Abstract. In e-commerce advertising, ad platforms typically fail to model the externalities among advertisers when making optimization decisions: an advertiser’s actual performance is largely shaped by rivals competing for the same users; these rivals typically operate in overlapping product categories and at comparable budget scales. However, capturing this rivalry as an explicit, reusable signal