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Table 10 Comparison on a Full-Retrain with Partial Update on Online-Updating Approach on ActivePMFv2 model learning (Feature k = 20; No of Work Done = 11,000; Batch = 1)

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

ActivePMFv2 model MAE RMSE Avg Runtime per Work Done (min)
Full Retrain 0.0156 0.0845 3.839
Online-Updating (Partial = 0.001) 0.0156 0.0845 3.374