most citedDisentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation

1 citations · 1 across the 2 of their papers we have counts for

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cs.IR2025

Federated Semantic Learning for Privacy-preserving Cross-domain Recommendation

Ziang Lu, Lei Guo, Xu Yu +3

In the evolving landscape of recommender systems, the challenge of effectively conducting privacy-preserving Cross-Domain Recommendation (CDR), especially under strict non-overlapp…

cs.IR2024★ 1 cited

Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation

Zhiyong Cheng, Jianhua Dong, Fan Liu +3

Multi-behavioral recommender systems have emerged as a solution to address data sparsity and cold-start issues by incorporating auxiliary behaviors alongside target behaviors. Howe…