89 citations · 109 across the 3 of their papers we have counts for
3 papers
cs.AI2018★ 14 cited
Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning
Jun Feng, Heng Li, Minlie Huang +4
Ranking is a fundamental and widely studied problem in scenarios such as search, advertising, and recommendation. However, joint optimization for multi-scenario ranking, which aims…
cs.IR2018★ 6 cited
Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search
Tao Zhuang, Wenwu Ou, Zhirong Wang
In web search, mutual influences between documents have been studied from the perspective of search result diversification. But the methods in web search is not directly applicable…
cs.LG2018★ 89 cited
Alternating Multi-bit Quantization for Recurrent Neural Networks
Chen Xu, Jianqiang Yao, Zhouchen Lin +4
Recurrent neural networks have achieved excellent performance in many applications. However, on portable devices with limited resources, the models are often too large to deploy. F…