2 papers
cs.IR2024
Light-weight End-to-End Graph Interest Network for CTR Prediction in E-commerce Search
Pipi Peng, Yunqing Jia, Ziqiang Zhou +2
Click-through-rate (CTR) prediction has an essential impact on improving user experience and revenue in e-commerce search. With the development of deep learning, graph-based method…
cs.LG2024
Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection
Yinting Wu, Pai Peng, Bo Cai +2
Adversarial training methods commonly generate independent initial perturbation for adversarial samples from a simple uniform distribution, and obtain the training batch for the cl…