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Table 2 Results of the six approaches

From: A reinforced collaborative filtering approach based on similarity propagation and score predication graph

Methods

UbCF

IbCF

HCF

TNCF

MSCF

Our approach

 

The length of recommendation list n = 20

MAE

0.799000

0.820004

0.786254

0.759431

0.749642

0.612635

RMSE

1.220041

1.238451

1.190004

1.172457

1.162245

1.158036

Recall

0.752544

0.692545

0.792445

0.795474

0.798415

0.856674

Diversity

0.354954

0.352424

0.385454

0.401771

0.524854

0.568545

 

The length of recommendation list n = 30

MAE

0.795714

0.818571

0.776040

0.755981

0.746721

0.602412

RMSE

1.228245

1.245100

1.192544

1.175125

1.165105

1.142428

Recall

0.789254

0.725875

0.805747

0.814745

0.828604

0.855441

Diversity

0.354521

0.352488

0.385471

0.401545

0.524454

0.585145