CoDiS applies variational context adjustment, expert isolation, and adversarial disentanglement to separate domain-shared and domain-specific preferences in cross-domain sequential recommendation, outperforming baselines on three datasets.
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Context-Aware Disentanglement for Cross-Domain Sequential Recommendation: A Causal View
CoDiS applies variational context adjustment, expert isolation, and adversarial disentanglement to separate domain-shared and domain-specific preferences in cross-domain sequential recommendation, outperforming baselines on three datasets.