Jun Tan

Stabilizing Reinforcement Learning in Dynamic Environment with Application to Online Recommendation

2018

Deep reinforcement learning has shown great potential in improving system performance autonomously, by learning from iterations with the environment. However, traditional reinforcement learning approaches are designed to work in static environments. In many real-world problems, …

An Active and Deep Semantic Matching Framework for Query Rewrite in E-Commercial Search Engine

2019

In order to make the query retrieve much more related products, some query rewrite methods have been proposed to obtain a set of candidate queries which can infer users' search intents and reduce the vocabulary …