Hongxu Chen

AIR: Attentional Intention-Aware Recommender Systems

2019

The capability of extracting sequential patterns from the user-item interaction data is now becoming a key feature of recommender systems. Though it is important to capture the sequential effect, existing methods only focus on modelling …

Interpretable Signed Link Prediction With Signed Infomax Hyperbolic Graph

2021 · IEEE Transactions on Knowledge and Data Engineering

Signed link prediction in social networks aims to reveal the underlying relationships (i.e., links) among users (i.e., nodes) given their existing positive and negative interactions observed. Most of the prior efforts are devoted to learning …

Temporal Meta-path Guided Explainable Recommendation

2021

Recent advances in path-based explainable recommendation systems have attracted increasing attention thanks to the rich information provided by knowledge graphs. Most existing explainable recommendation only utilizes static knowledge graph and ignores the dynamic user-item evolutions, …

Click-Through Rate Prediction with Multi-Modal Hypergraphs

2021

Advertising is critical to many online e-commerce platforms such as e-Bay and Amazon. One of the important signals that these platforms rely upon is the click-through rate (CTR) prediction. The recent popularity of multi-modal sharing …

Knowledge Distillation Based Recommendation Systems: A Comprehensive Survey

2025 · Electronics

Deep learning-driven deep recommendation systems have achieved remarkable success in recent years. However, the deployment of deep recommendation models on resource-constrained equipment and systems (e.g., mobile devices and embedded systems) is a significant challenge. To …