FedCRF fuses global and local semantics via federated learning, semantic graphs, and contrastive constraints to improve cross-domain recommendations in non-overlapping scenarios.
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FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion
FedCRF fuses global and local semantics via federated learning, semantic graphs, and contrastive constraints to improve cross-domain recommendations in non-overlapping scenarios.