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Table 5 RMSE comparison among various active sampling heuristics in PMF (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

 

PMF with active sampling heuristics

No. of selected samples

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

T[N]W[Reli]+ T[MaxPredictErr]W[Reli]

T[N]W[Reli]+ T[MaxEntropy]W[Reli]

1000

0.7101

0.7101

0.7101

2000

0.6097

0.6097

0.6097

3000

0.5110

0.5110

0.5110

4000

0.4164

0.4364

0.4583

5000

0.3180

0.4025

0.4409

6000

0.2621

0.3626

0.4300

7000

0.2566

0.3411

0.4195

8000

0.2563

0.2862

0.3856

9000

0.2054

0.2342

0.3023

10000

0.1259

0.1975

0.2390

11000

0.0880

0.1532

0.1786