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Rating Prediction on MovieLens 90/10 1M (train test)

0.829RMSECF-NADE
0.826840.841420.8560.87058Jun 24, 2016Oct 5, 2016Jan 17, 2017Apr 30, 2017Aug 12, 2017Nov 23, 2017Mar 7, 2018

Evaluation results

MethodLinks
CF-NADESide Information=None, Split=90/10, Model Variant=Best-performing2017.060.829
CF-NADE2018.030.829
I-AutorecSide Information=false2016.060.8305
I-AUTORECSide Information=None, Split=90/102017.060.831
I-AUTOREC2018.030.831
I-CFN++Side Information=true2016.060.8316
GC-MCSide Information=None, Split=90/102017.060.832
GC-MC2018.030.832
I-CFNSide Information=false2016.060.8321
LLORMA-LocalSide Information=None, Split=90/102017.060.833
LLORMA-Local2018.030.833
LLORMASide Information=false2016.060.8371
NNMFSide Information=None, Split=90/102017.060.843
NNMF2018.030.843
ALS-WRSide Information=false2016.060.8433
BiasMFSide Information=None, Split=90/102017.060.845
BiasMF2018.030.845
I-RBMSide Information=None, Split=90/102017.060.854
I-RBM2018.030.854
U-CFN++Side Information=true2016.060.8572
U-CFNSide Information=false2016.060.8574
Factorized EAE2018.030.86
Self-Supervised Model2018.030.863
SVDFeatureSide Information=false2016.060.8631
BPMFSide Information=false2016.060.8705
PMFSide Information=None, Split=90/102017.060.883
PMF2018.030.883