Sequential recommendation predicts users' next behaviors with their
hist...
To approach different business objectives, online traffic shaping algori...
Ensemble models in E-commerce combine predictions from multiple sub-mode...
Recent E-commerce applications benefit from the growth of deep learning
...
With the rapid development of E-commerce and the increase in the quantit...
Estimating post-click conversion rate (CVR) accurately is crucial in
E-c...
Learning-to-rank (LTR) has become a key technology in E-commerce
applica...
Learning-to-rank (LTR) has become a key technology in E-commerce
applica...
Model-free reinforcement learning methods such as the Proximal Policy
Op...
In a large E-commerce platform, all the participants compete for impress...
Applying reinforcement learning in physical-world tasks is extremely
cha...
In e-commerce platforms such as Amazon and TaoBao, ranking items in a se...
In industrial large-scale search systems, such as Taobao.com search for
...