Unbiased and Robust: External Attention-enhanced Graph Contrastive Learning for Cross-domain Sequential Recommendation

1 code implementation • 7 Oct 2023 • Xinhua Wang, Houping Yue, Zizheng Wang, Liancheng Xu, Jinyu Zhang

To this end, we propose an External Attention-enhanced Graph Contrastive Learning framework, namely EA-GCL.

Contrastive Learning Multi-Task Learning +2

Towards Lightweight Cross-domain Sequential Recommendation via External Attention-enhanced Graph Convolution Network

1 code implementation • 7 Feb 2023 • Jinyu Zhang, Huichuan Duan, Lei Guo, Liancheng Xu, Xinhua Wang

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 from multiple domains.

Collaborative Filtering Sequential Recommendation

Label distribution learning via label correlation grid

no code implementations • 15 Oct 2022 • Qimeng Guo, Zhuoran Zheng, Xiuyi Jia, Liancheng Xu

Specifically, we compute a covariance matrix for the label space in the training set to represent the relationships between labels, then model the information distribution (Gaussian distribution function) for each element in the covariance matrix to obtain an LCG.