2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.IR2024
Simple but Efficient: A Multi-Scenario Nearline Retrieval Framework for Recommendation on Taobao
Yingcai Ma, Ziyang Wang, Yuliang Yan +5
In recommendation systems, the matching stage is becoming increasingly critical, serving as the upper limit for the entire recommendation process. Recently, some studies have start…
cs.LG2019★ 2 cited
Policy Optimization with Stochastic Mirror Descent
Long Yang, Yu Zhang, Gang Zheng +5
Improving sample efficiency has been a longstanding goal in reinforcement learning. This paper proposes algorithm: a sample efficient policy gradient method with s…
cs.LG2019
Field-aware Neural Factorization Machine for Click-Through Rate Prediction
Li Zhang, Weichen Shen, Shijian Li +1
Recommendation systems and computing advertisements have gradually entered the field of academic research from the field of commercial applications. Click-through rate prediction i…