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rec.recommender.class=biasedmf
rec.iterator.learnrate=0.002
rec.iterator.learnrate.maximum=0.01
rec.iterator.maximum=100
rec.user.regularization=0.01
rec.item.regularization=0.01
rec.bias.regularization=0.01
rec.factor.number=20
rec.learnrate.bolddriver=false
rec.learnrate.decay=1.0