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cs.IR2024★ 1 cited
Learning Positional Attention for Sequential Recommendation
Fan Luo, Haibo He, Juan Zhang +1
Self-attention-based networks have achieved remarkable performance in sequential recommendation tasks. A crucial component of these models is positional encoding. In this study, we…
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…