Table IV.

Results when artificial and source selection scores assigned to documents

MAP@100PRES@100RECALL@100
  Realistic scenarioOptimal scenarioOriginal scenarioOptimal scenarioOriginal scenarioOptimal scenario
MMsRandom forest0.08370.10610.26740.43760.27380.4525
SVR0.07090.07780.23480.34150.24130.3551
Decision tree0.07740.09270.26720.43890.27400.4542
Polynomial x20.04370.02870.11820.17710.12000.1855
Polynomial x30.04400.03250.12520.22310.12750.2336
GMSRandom forest0.04600.05120.24340.27050.25130.2791
SVR0.02170.02920.08460.20260.08820.2121
Decision tree0.04200.04520.23180.25660.23940.2647
Linear regression0.04360.05900.24440.26530.25230.2725
DNN0.04120.06060.24340.27010.25100.2771
 CORI0.07140.07290.19400.28320.19690.2912
 SSL0.06230.11700.21680.46970.22190.4857
 SAFE0.06060.08730.22000.28290.22620.2903
 Centralized0.07930.25920.2660
 Random merging0.01410.09790.1833

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