A semantic bias-aware framework for zero-shot cross-domain sequential recommendation, with item-level alignment and sequence-level pattern transfer losses, reports strong gains but has a degenerate inter-domain loss in its two-domain evaluation.
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LLM-RecG: A Semantic Bias-Aware Framework for Zero-Shot Sequential Recommendation
A semantic bias-aware framework for zero-shot cross-domain sequential recommendation, with item-level alignment and sequence-level pattern transfer losses, reports strong gains but has a degenerate inter-domain loss in its two-domain evaluation.