Fig. 7From: Recommendation algorithm based on user score probability and project typeThe comparison of RMSE values between four algorithms in train2. With the increase in the number of nearest neighbors, the value of RMSE decreased first and then increased. When the nearest neighbor number is about 40, the value of RMSE is the smallest. In the case of the same number of near neighbors, the RMSE value of the UPCF algorithm is the smallest, that is, the error between the real score and the prediction score is the smallest, and the performance is the bestBack to article page