47 citations · 154 across the 20 of their papers we have counts for
4 papers · 1 filter
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction
Kai Zhang, Hao Qian, Qing Cui +5
In the Click-Through Rate (CTR) prediction scenario, user's sequential behaviors are well utilized to capture the user interest in the recent literature. However, despite being ext…
SAIL: Self-Augmented Graph Contrastive Learning
Lu Yu, Shichao Pei, Lizhong Ding +4
This paper studies learning node representations with graph neural networks (GNNs) for unsupervised scenario. Specifically, we derive a theoretical analysis and provide an empirica…
Interpretable MTL from Heterogeneous Domains using Boosted Tree
Ya-Lin Zhang, Longfei Li
Multi-task learning (MTL) aims at improving the generalization performance of several related tasks by leveraging useful information contained in them. However, in industrial scena…
SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks
Qitao Shi, Ya-Lin Zhang, Longfei Li +3
Machine learning techniques have been widely applied in Internet companies for various tasks, acting as an essential driving force, and feature engineering has been generally recog…