Cross-Country Code-Mixing for Generative Recommendation
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-con...
| Authors | Yuan Gao, Hao Deng, Haibo Xing et al. |
|---|---|
| Primary category | cs.IR |
| Published | 24 September 2026 |
| Last updated at source | 24 September 2026 |
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