108 citations · 151 across the 21 of their papers we have counts for
Showing cs.IRShow all
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cs.IR2023★ 8 cited
MB-HGCN: A Hierarchical Graph Convolutional Network for Multi-behavior Recommendation
Mingshi Yan, Zhiyong Cheng, Jing Sun +2
Collaborative filtering-based recommender systems that rely on a single type of behavior often encounter serious sparsity issues in real-world applications, leading to unsatisfacto…
cs.IR2023★ 108 cited
Multi-Behavior Recommendation with Cascading Graph Convolution Networks
Zhiyong Cheng, Sai Han, Fan Liu +3
Multi-behavior recommendation, which exploits auxiliary behaviors (e.g., click and cart) to help predict users' potential interactions on the target behavior (e.g., buy), is regard…
cs.IR2022★ 11 cited
Disentangled Graph Neural Networks for Session-based Recommendation
Ansong Li, Zhiyong Cheng, Fan Liu +3
Session-based recommendation (SBR) has drawn increasingly research attention in recent years, due to its great practical value by only exploiting the limited user behavior history…