2 papers
cs.IR2024
Behavior Pattern Mining-based Multi-Behavior Recommendation
Haojie Li, Zhiyong Cheng, Xu Yu +3
Multi-behavior recommendation systems enhance effectiveness by leveraging auxiliary behaviors (such as page views and favorites) to address the limitations of traditional models th…
cs.IR2024
Amplify Graph Learning for Recommendation via Sparsity Completion
Peng Yuan, Haojie Li, Minying Fang +3
Graph learning models have been widely deployed in collaborative filtering (CF) based recommendation systems. Due to the issue of data sparsity, the graph structure of the original…