Zeng Wei

Reinforcement Learning to Rank with Markov Decision Process

2017

One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures such as normalized discounted cumulative gain~(ND CG). Existing methods usually …