发表机构
Alibaba International Digital Commerce Group（阿里巴巴国际数字商业集团）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对跨国推荐中数据级知识缺失问题，提出CMRec框架，通过双重约束的上下文感知代码混合注入跨国家监督，显著提升稀疏国家推荐质量并保持丰富国家性能。
AI 中文摘要
现代电子商务平台上的跨国推荐通常在不同市场部署不相交的用户和物品ID空间，这消除了传统跨域方法所依赖的共享锚点。生成式推荐（GR）通过将物品映射到共享的令牌空间并训练统一模型来缓解这一问题，但现有方法将行为序列严格限制在特定国家内，因此知识转移仅发生在参数层面，而在数据层面仍然缺失。受多语言自然语言处理中代码切换语料库的启发，我们提出了CMRec，一个跨国家的GR框架，通过双重约束、上下文感知的代码混合在数据层面注入跨国家监督。CMRec首先从多模态内容和跨国家的行为共现中学习一个共享的语义码本。然后，它利用该码本通过令牌级替换来合成混合国家序列，这些替换同时满足静态（内容）和动态（如价格、受众、流行度）约束。最后，它引入了一种上下文感知的损失函数，根据混合样本在当前序列中的合理性对其重新加权。在两个真实的多国家数据集和在线A/B测试上的实验表明，CMRec显著提高了数据稀疏国家的推荐质量，同时保持了数据丰富国家的性能，在大规模电子商务平台上实现了广告收入+1.77%和订单量+2.64%的提升。
英文摘要
Cross-country recommendation on modern e-commerce platforms is typically deployed with disjoint user and item ID spaces across markets, removing the shared anchors that conventional cross-domain methods rely on. Generative recommendation (GR) mitigates this by mapping items into a shared token space and training a unified model, but existing approaches keep behavior sequences strictly country-specific, so knowledge transfer occurs only at the parameter level and remains absent at the data level. Inspired by code-switching corpora in multilingual natural language processing, we propose CMRec, a cross-country GR framework that injects cross-country supervision at the data level via dual-constrained, context-aware code-mixing. CMRec first learns a shared semantic codebook from multi-modal content and behavioral co-occurrence across countries. It then uses this codebook to synthesize mixed-country sequences via token-level substitutions that satisfy both static (content) and dynamic (e.g., price, audience, popularity) constraints. Finally, it introduces a context-aware loss that reweights mixed samples according to their plausibility in the current sequence. Experiments on two real-world multi-country datasets and an online A/B test show that CMRec substantially improves recommendation quality in data-sparse countries while preserving performance in data-rich countries, achieving +1.77% advertising revenue and +2.64% orders on a large-scale e-commerce platform.
CommentsCIKM 2026 Short
