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cs.IR2026
MGDiff: Multi-Interest Sequence Recommendation with Masking GNN-Guided Diffusion
Wenjing Xiao, Hao Ding
We propose a novel Multi-Interest Sequence Recommendation Framework with \underline{M}asking \underline{G}NN-Guided \underline{Diff}usion Model (MGDiff), designed to generate accur…
cs.IR2023
Personalized Federated Domain Adaptation for Item-to-Item Recommendation
Ziwei Fan, Hao Ding, Anoop Deoras +1
Item-to-Item (I2I) recommendation is an important function in most recommendation systems, which generates replacement or complement suggestions for a particular item based on its…
cs.IR2023
GCNSLIM: Graph Convolutional Network with Sparse Linear Methods for E-government Service Recommendation
Lingyuan Kong, Hao Ding, Guangwei Hu
Graph Convolutional Networks have made significant strides in Collabora-tive Filtering recommendations. However, existing GCN-based CF methods are mainly based on matrix factorizat…