Search Results for author: Mingshi Yan

Found 2 papers, 1 papers with code

MB-HGCN: A Hierarchical Graph Convolutional Network for Multi-behavior Recommendation

no code implementations19 Jun 2023 Mingshi Yan, Zhiyong Cheng, Jing Sun, Fuming Sun, Yuxin Peng

In this paper, we propose MB-HGCN, a novel multi-behavior recommendation model that uses a hierarchical graph convolutional network to learn user and item embeddings from coarse-grained on the global level to fine-grained on the behavior-specific level.

Collaborative Filtering Multi-Task Learning +1

Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation

1 code implementation26 May 2022 Mingshi Yan, Zhiyong Cheng, Chen Gao, Jing Sun, Fan Liu, Fuming Sun, Haojie Li

In particular, we design a cascading residual graph convolutional network structure, which enables our model to learn user preferences by continuously refining user embeddings across different types of behaviors.

Multi-Task Learning

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