4 papers · 1 filter
Spacetime-GR: A Spacetime-Aware Generative Model for Large Scale Online POI Recommendation
Haitao Lin, Zhen Yang, Jiawei Xue +5
Building upon the strong sequence modeling capability, Generative Recommendation (GR) has gradually assumed a dominant position in the application of recommendation tasks (e.g., vi…
GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models
Zhen Yang, Haitao Lin, Jiawei xue +1
In the past year, Generative Recommendations (GRs) have undergone substantial advancements, especially in leveraging the powerful sequence modeling and reasoning capabilities of La…
HGCL: Hierarchical Graph Contrastive Learning for User-Item Recommendation
Jiawei Xue, Zhen Yang, Haitao Lin +5
Graph Contrastive Learning (GCL), which fuses graph neural networks with contrastive learning, has evolved as a pivotal tool in user-item recommendations. While promising, existing…
Movie Recommendation with Poster Attention via Multi-modal Transformer Feature Fusion
Linhan Xia, Yicheng Yang, Ziou Chen +2
Pre-trained models learn general representations from large datsets which can be fine-turned for specific tasks to significantly reduce training time. Pre-trained models like gener…