Fig. 5From: Recommendation algorithm based on user score probability and project typeThe comparison of RMSE values between four algorithms in data set of train1. 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 smallestBack to article page