4 citations · 8 across the 4 of their papers we have counts for
4 papers
A Unified Graph Transformer for Overcoming Isolations in Multi-modal Recommendation
Zixuan Yi, Iadh Ounis
With the rapid development of online multimedia services, especially in e-commerce platforms, there is a pressing need for personalised recommendation systems that can effectively…
A Directional Diffusion Graph Transformer for Recommendation
Zixuan Yi, Xi Wang, Iadh Ounis
In real-world recommender systems, implicitly collected user feedback, while abundant, often includes noisy false-positive and false-negative interactions. The possible misinterpre…
Large Multi-modal Encoders for Recommendation
Zixuan Yi, Zijun Long, Iadh Ounis +2
In recent years, the rapid growth of online multimedia services, such as e-commerce platforms, has necessitated the development of personalised recommendation approaches that can e…
Contrastive Graph Prompt-tuning for Cross-domain Recommendation
Zixuan Yi, Iadh Ounis, Craig Macdonald
Recommender systems are frequently challenged by the data sparsity problem. One approach to mitigate this issue is through cross-domain recommendation techniques. In a cross-domain…