Author

Ning Liu

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Open access 2026

Large Language Model Semantic-Guided Counterfactual Data Augmentation for Cross-Domain Sequential Recommendation

Cross-domain sequential recommendation leverages source-domain interactions to alleviate target-domain sparsity, yet existing methods struggle with semantic gaps, insufficient training signals under extreme sparsity, and negative transfer caused by user heterogeneity. To address these issues, this paper proposes LLM-CF...

Ning Liu, Jian-Hua Zhao, Rong-Hua Zhao · IEEE Access · 0 citations

Open access 2026

Robust Cross-Domain Sequential Recommendation Driven by Causal Disentanglement and Counterfactual Generation

A novel framework driven by causal disentanglement and counterfactual generation, namely Causal Disentanglement and Counterfactual Generation (CDCG) is proposed, which generates Counterfactual Sequence Generation and Validation (CSGV) to augment training data while guaranteeing the rationality of temporal logic.

Jian-Hua Zhao, Ning Liu, Rong-Hua Zhao · IEEE Access · 0 citations