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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