Chenzhong Bin

Neighborhood Attentional Memory Networks for Recommendation Systems

2021 · Scientific Programming

Deep learning systems have been phenomenally successful in the fields of computer vision, speech recognition, and natural language processing. Recently, researchers have adopted deep learning techniques to tackle collaborative filtering with implicit feedback. However, the …

Improving Recommendation Fairness via Graph Structure and Representation Augmentation

2025

Graph Convolutional Networks (GCNs) have become increasingly popular in recommendation systems. However, recent studies have shown that GCN-based models will cause sensitive information to disseminate widely in the graph structure, amplifying data bias and raising …