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Table 3 Reciprocal Performance

From: A robust approach to optimizing multi-source information for enhancing genomics retrieval performance

Component

document

aspect

passage2

Best of baselines

0.2906

0.2189

0.0988

UniNE1+York07ga2+kyoto1

0.2743 (-5.60%)

0.2065 (-5.63%)

0.0978 (-1.01%)

UniNE1+York07ga2+UBexp1

0.2802 (-3.56%)

0.2219 (1.38%)

0.1047 (5.96%)

UniNE1+MuMshFd+kyoto1

0.2828 (-2.66%)

0.2221 (1.46%)

0.0997 (0.86%)

UniNE1+MuMshFd+UBexp1

0.2906 (0.00%)

0.2380 (8.75%)

0.1059 (7.19%)

  1. Corresponding to the baselines, we evaluate the combinations using the reciprocal method in this table. In total, there are four combinations generated from three different IR models. Each combination contains a DFR baseline, a BM25 baseline and a LM baseline. The values in the parentheses are the relative rates of improvement over the best results of the baselines. One of the conclusions is that the alliance of giants with boldface is the winner on all the measures.