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Table 8 MAE comparison between ActivePMFv2 and ActivePMFv1 (A smaller MAE means a better performance)

From: An online-updating algorithm on probabilistic matrix factorization with active learning for task recommendation in crowdsourcing systems

No. of selected samples

T[N]W[Reli]+T[MaxDiff]W[N]+ T[MaxDiff]W[Reli] (ActivePMFv2)

T[N]W[Reli] + T[MaxDiff]W[Reli] (ActivePMFv1)

1000

0.3658

0.3658

2000

0.2778

0.2778

3000

0.1955

0.1955

4000

0.1052

0.1473

5000

0.1001

0.1151

6000

0.0948

0.0977

7000

0.0897

0.0945

8000

0.0879

0.0899

9000

0.0652

0.0652

10000

0.0283

0.0334

11000

0.0156

0.0176