Machine Learning, Information Retrieval.
However, the size of the candidates could be still too large to handle. (4) re-ranks top-k candidates which are already ranked in the prior ranker. The size is always fixed which makes predicting load easier. This is a practical setting but it limits the potential of the ranking model. It appears