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Personalized and Multi-View Representation for Federated Cold-Start Recommendation

Lim, Jaehyung et al.
arXiv (OAI Expanded) · Papers
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information-retrievalmachine-learning
Federated recommendation (FedRec) enables personalized modeling without centralizing users' interaction histories, but most existing methods assume a fixed item pool and thus overlook the practical cold-item setting where new items continuously arrive. Under the dual-sided constraint, where the serv
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