most citedHeterogeneous Graph-based Framework with Disentangled Representations Learning for Multi-target Cross Domain Recommendation

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cs.IR2024★ 1 cited

Heterogeneous Graph-based Framework with Disentangled Representations Learning for Multi-target Cross Domain Recommendation

Xiaopeng Liu, Juan Zhang, Chongqi Ren +3

CDR (Cross-Domain Recommendation), i.e., leveraging information from multiple domains, is a critical solution to data sparsity problem in recommendation system. The majority of pre…