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Table 4 Average metrics with standard deviations across 100 iterations and 5 “first-order” sets. The NDCG at rank \(n_i\) is averaged across users. S indicates an instance of SELT

From: Joint embedding–classifier learning for interpretable collaborative filtering

  

AUC

NS-AUC

NDCG

50%

FM2

0.99± 0.0

0.92± 0.0

0.97± 0.0

 

CrossFM2

0.99± 0.0

0.93± 0.0

1.00± 0.0

 

S-PCAf

0.95± 0.0

0.70± 0.1

0.58± 0.2

 

S-PCAiu

0.95± 0.0

0.61± 0.2

0.45± 0.2

 

S-KGE

0.91± 0.0

0.43± 0.2

0.25± 0.2

 

JELI

0.99± 0.0

0.92± 0.1

0.96± 0.0

65%

FM2

0.98± 0.0

0.91± 0.0

0.87± 0.1

 

CrossFM2

0.99± 0.0

0.91± 0.0

0.95± 0.0

 

S-PCAf

0.95± 0.0

0.73± 0.1

0.54± 0.2

 

S-PCAiu

0.94± 0.0

0.62± 0.0

0.34± 0.1

 

S-KGE

0.90± 0.0

0.43± 0.0

0.06± 0.0

 

JELI

0.99± 0.0

0.94± 0.0

0.94± 0.1

80%

FM2

0.97± 0.0

0.84± 0.1

0.56± 0.1

 

CrossFM2

0.98± 0.0

0.87± 0.0

0.74± 0.0

 

S-PCAf

0.95± 0.0

0.73± 0.1

0.38± 0.1

 

S-PCAiu

0.93± 0.0

0.62± 0.1

0.20± 0.0

 

S-KGE

0.91± 0.0

0.55± 0.1

0.12± 0.1

 

JELI

0.99± 0.0

0.94± 0.0

0.85± 0.2

  1. Bold type is used for the highest value(s) in each experiment