17 citations · 32 across the 3 of their papers we have counts for
3 papers
cs.IR2017★ 2 cited
Telepath: Understanding Users from a Human Vision Perspective in Large-Scale Recommender Systems
Yu Wang, Jixing Xu, Aohan Wu +4
Designing an e-commerce recommender system that serves hundreds of millions of active users is a daunting challenge. From a human vision perspective, there're two key factors that…
cs.LG2017★ 13 cited
LADDER: A Human-Level Bidding Agent for Large-Scale Real-Time Online Auctions
Yu Wang, Jiayi Liu, Yuxiang Liu +5
We present LADDER, the first deep reinforcement learning agent that can successfully learn control policies for large-scale real-world problems directly from raw inputs composed of…
cs.AI2017★ 17 cited
Optimizing Gross Merchandise Volume via DNN-MAB Dynamic Ranking Paradigm
Yan Yan, Wentao Guo, Meng Zhao +2
With the transition from people's traditional `brick-and-mortar' shopping to online mobile shopping patterns in web 2.0 , the recommender system plays a critical role…