BST-CDSR combines neural ODEs for continuous behavioral preference modeling with LLM-based temporal semantic generation and adaptive domain transfer to improve cross-domain sequential recommendations.
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Bridging Behavior and Semantics for Time-aware Cross-Domain Sequential Recommendation
BST-CDSR combines neural ODEs for continuous behavioral preference modeling with LLM-based temporal semantic generation and adaptive domain transfer to improve cross-domain sequential recommendations.