3 papers
cs.IR2024
Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation
Guowei Wu, Weike Pan, Qiang Yang +1
Graph neural network (GNN) has emerged as a state-of-the-art solution for item recommendation. However, existing GNN-based recommendation methods rely on a centralized storage of f…
cs.IR2024
A Survey on Cross-Domain Sequential Recommendation
Shu Chen, Zitao Xu, Weike Pan +2
Cross-domain sequential recommendation (CDSR) shifts the modeling of user preferences from flat to stereoscopic by integrating and learning interaction information from multiple do…
cs.IR2023
A Survey on Multi-Behavior Sequential Recommendation
Xiaoqing Chen, Zhitao Li, Weike Pan +1
Recommender systems is set up to address the issue of information overload in traditional information retrieval systems, which is focused on recommending information that is of mos…