3 papers
cs.IR2024
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
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…
cs.CV2024
Controllable Talking Face Generation by Implicit Facial Keypoints Editing
Dong Zhao, Jiaying Shi, Wenjun Li +3
Audio-driven talking face generation has garnered significant interest within the domain of digital human research. Existing methods are encumbered by intricate model architectures…