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arXiv AI By Yuan Gao, Hao Deng, Haibo Xing, Yi Xu, Lingyu Mu, Jinxin Hu, Yu Zhang, Xiaoyi Zeng

Cross-Country Code-Mixing for Generative Recommendation

Read the original on arXiv AI →

Cross-Country Code-Mixing for Generative Recommendation (CMRec) is a framework that enhances generative recommendation across different countries by injecting cross-country supervision at the data level. It learns a shared semantic codebook from multi-modal content and behavioral co-occurrence, then synthesizes mixed-country sequences through token-level substitutions that respect both static and dynamic constraints. A context-aware loss reweights these mixed samples based on their plausibility, leading to improved recommendation quality in data-sparse countries while maintaining performance in data-rich markets, as demonstrated by significant gains in advertising revenue and orders in real-world e-commerce experiments.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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