Reform of Piano Tuning Teaching in Music Universities Based on Personalized Talent Training

The accuracy of piano music classification based on high-dimensional data collaborative filtering recommendation algorithm is automatically evaluated by computer technology, and the K-means model algorithm is used to conduct a comparison test. By comparing the classification results of high-dimensional data collaborative filtering recommendation algorithm with the piano music classification results of K-means algorithm, the piano learning burden can be reduced and the piano learning effect can be improved. The results of this paper show that the automatic piano performance evaluation system based on the high-dimensional data collaborative filtering recommendation algorithm has an accuracy rate of 95% and has a good rating effect.