54 citations · 76 across the 5 of their papers we have counts for
5 papers
Unbiased and Robust: External Attention-enhanced Graph Contrastive Learning for Cross-domain Sequential Recommendation
Xinhua Wang, Houping Yue, Zizheng Wang +2
Cross-domain sequential recommenders (CSRs) are gaining considerable research attention as they can capture user sequential preference by leveraging side information from multiple…
Automated Prompting for Non-overlapping Cross-domain Sequential Recommendation
Lei Guo, Chunxiao Wang, Xinhua Wang +2
Cross-domain Recommendation (CR) has been extensively studied in recent years to alleviate the data sparsity issue in recommender systems by utilizing different domain information.…
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…
Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation
Lei Guo, Jinyu Zhang, Tong Chen +2
Shared-account Cross-domain Sequential Recommendation (SCSR) is an emerging yet challenging task that simultaneously considers the shared-account and cross-domain characteristics i…
Tri-Branch Convolutional Neural Networks for Top- Focused Academic Performance Prediction
Chaoran Cui, Jian Zong, Yuling Ma +4
Academic performance prediction aims to leverage student-related information to predict their future academic outcomes, which is beneficial to numerous educational applications, su…