9 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.IR2024
MCRPL: A Pretrain, Prompt & Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation
Hao Liu, Lei Guo, Lei Zhu +3
Cross-domain Recommendation (CR) is the task that tends to improve the recommendations in the sparse target domain by leveraging the information from other rich domains. Existing m…
cs.CV2023
Lightweight Self-Knowledge Distillation with Multi-source Information Fusion
Xucong Wang, Pengchao Han, Lei Guo
Knowledge Distillation (KD) is a powerful technique for transferring knowledge between neural network models, where a pre-trained teacher model is used to facilitate the training o…
cs.IR2023★ 9 cited
Towards Lightweight Cross-domain Sequential Recommendation via External Attention-enhanced Graph Convolution Network
Jinyu Zhang, Huichuan Duan, Lei Guo +2
Cross-domain Sequential Recommendation (CSR) is an emerging yet challenging task that depicts the evolution of behavior patterns for overlapped users by modeling their interactions…