290 citations · 300 across the 6 of their papers we have counts for
4 papers · 2 filters
Layer-refined Graph Convolutional Networks for Recommendation
Xin Zhou, Donghui Lin, Yong Liu +1
Recommendation models utilizing Graph Convolutional Networks (GCNs) have achieved state-of-the-art performance, as they can integrate both the node information and the topological…
Bootstrap Latent Representations for Multi-modal Recommendation
Xin Zhou, Hongyu Zhou, Yong Liu +5
This paper studies the multi-modal recommendation problem, where the item multi-modality information (e.g., images and textual descriptions) is exploited to improve the recommendat…
Minimalist and High-performance Conversational Recommendation with Uncertainty Estimation for User Preference
Yinan Zhang, Boyang Li, Yong Liu +2
Conversational recommendation system (CRS) is emerging as a user-friendly way to capture users' dynamic preferences over candidate items and attributes. Multi-shot CRS is designed…
Enhancing Sequential Recommendation with Graph Contrastive Learning
Yixin Zhang, Yong Liu, Yonghui Xu +5
The sequential recommendation systems capture users' dynamic behavior patterns to predict their next interaction behaviors. Most existing sequential recommendation methods only exp…