(2013) proposed a two-stage learning-to-rank framework to address the problem of sub-optimal ranking when many relevant documents are excluded from the ranking list using bag-of-words retrieval models. In (Tan et al. 2013), the authors proposed a model which directly optimizes the ranking ...