48 citations · 89 across the 2 of their papers we have counts for
2 papers
cs.IR2024★ 48 cited
Modeling the Heterogeneous Duration of User Interest in Time-Dependent Recommendation: A Hidden Semi-Markov Approach
Haidong Zhang, Wancheng Ni, Xin Li +1
Recommender systems are widely used for suggesting books, education materials, and products to users by exploring their behaviors. In reality, users' preferences often change over…
cs.AI2021★ 41 cited
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning
Xinjun Cai, Jiaxing Shang, Fei Hao +2
Many real-world data can be represented as heterogeneous graphs with different types of nodes and connections. Heterogeneous graph neural network model aims to embed nodes or subgr…