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EURASIP Journal on Wireless Communications and Networking

Table 2 Comparison of RMSE value

From: Recommendation algorithm based on user score probability and project type

 

Number of neighbors

10

20

30

40

50

60

70

80

UBCF

1.045

1.027

1.022

1.020

1.019

1.019

1.019

1.019

IBCF

1.079

1.048

1.035

1.028

1.024

1.022

1.020

1.019

GSCF

1.036

1.019

1.016

1.013

1.014

1.013

1.013

1.013

UPCF

1.026

1.016

1.013

1.011

1.012

1.012

1.012

1.013

  1. The RMSE value of the algorithm UPCF is always smaller than the other three recommendation algorithms (under the same number of neighbors). As the number of neighbors increases, the RMSE value becomes smaller first and then bigger. When the number of neighbors is about 40, the value of RMSE tends to be the smallest, that is, the error of the prediction score is the smallest
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