Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction

3 Nov 2019Yikai WangLiang ZhangQuanyu DaiFuchun SunBo ZhangYang HeWeipeng YanYongjun Bao

Improving the performance of click-through rate (CTR) prediction remains one of the core tasks in online advertising systems. With the rise of deep learning, CTR prediction models with deep networks remarkably enhance model capacities... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Evaluation Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help community compare results to other papers.