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cs.IR2026
FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation
Xinrui He, Ting-Wei Li, Tianxin Wei +5
Federated cross-domain recommendation (Federated CDR) aims to collaboratively learn personalized recommendation models across heterogeneous domains while preserving data privacy. R…
cs.IR2024
DeBaTeR: Denoising Bipartite Temporal Graph for Recommendation
Xinyu He, Jose Sepulveda, Mostafa Rahmani +3
Due to the difficulty of acquiring large-scale explicit user feedback, implicit feedback (e.g., clicks or other interactions) is widely applied as an alternative source of data, wh…