4 papers
BIPCL: Bilateral Intent-Enhanced Sequential Recommendation via Embedding Perturbation Contrastive Learning
Shanfan Zhang, Yongyi Lin, Yuan Rao
Accurately modeling users' evolving preferences from sequential interactions remains a central challenge in recommender systems. Recent studies emphasize the importance of capturin…
Dual-Perspective Disentangled Multi-Intent Alignment for Enhanced Collaborative Filtering
Shanfan Zhang, Yongyi Lin, Yuan Rao +3
Personalized recommendation requires capturing the complex latent intents underlying user-item interactions. Existing structural models, however, often fail to preserve perspective…
Efficient Bipartite Graph Embedding Induced by Clustering Constraints
Shanfan Zhang, Yongyi Lin, Yuan Rao +1
Bipartite graph embedding (BGE) maps nodes to compressed embedding vectors that can reflect the hidden topological features of the network, and learning high-quality BGE is crucial…
Game Theory Based Community-Aware Opinion Dynamics
Shanfan Zhang, Xiaoting Shen, Zhan Bu
Examining the mechanisms underlying the formation and evolution of opinions within real-world social systems, which consist of numerous individuals, can provide valuable insights f…