Hongyu Shi

DexDeepFM: Ensemble Diversity Enhanced Extreme Deep Factorization Machine Model

2021 · arXiv (Cornell University)

Predicting user positive response (e.g., purchases and clicks) probability is a critical task in Web applications. To identify predictive features from raw data, the state-of-the-art extreme deep factorization machine model (xDeepFM) introduces a new interaction …

DHFM: Diversity Enhanced Hypergraph Factorization Machines for Feature Interaction Modeling

2025 · ACM Transactions on Knowledge Discovery from Data

Feature interaction modeling, which exploits interactive information between features, has been widely explored in various applications. Recently, many graph neural networks (GNNs) based models are proposed to model feature interactions by predicting the existence of …