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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