most citedJoint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data

10 citations · 10 across the 4 of their papers we have counts for

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cs.IR2022

Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation

Weiming Liu, Xiaolin Zheng, Mengling Hu +1

Cross-Domain Recommendation (CDR) has been popularly studied to utilize different domain knowledge to solve the cold-start problem in recommender systems. Most of the existing CDR…

cs.IR2022

Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation

Weiming Liu, Xiaolin Zheng, Mengling Hu +1

Cross-Domain Recommendation (CDR) has been popularly studied to utilize different domain knowledge to solve the data sparsity and cold-start problem in recommender systems. In this…