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Beijing Jiaotong University
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FedCGR revolutionizes cross-domain recommendations by enabling effective item alignment without compromising user privacy or requiring extensive data sharing.
HiLaR reveals that optimizing user preference modeling through hierarchical latent reasoning can significantly outperform traditional recommendation approaches.
