In each experiment, we first use the baseline model (KL-divergence) to retrieve 2,000 documents for each query, and then use the smoothing methods (or a baseline method) to re-rank them.
to the simple strategy which smoothes all documents with the same background, recently corpus structures have been exploited for more accurate smoothing.