Research on the Application of Data Mining Algorithm in Music Style Classification and Audience Personalized Recommendation

Abstract

The rapid development of digital information technology has had a great impact on the music industry. Music playing and downloading has become the main business of many Internet operators. Internet technology has promoted the development of the music industry, and a variety of emerging music styles emerge in endlessly. Users' appreciation preferences vary from person to person. Various enterprises and many scholars have begun to study how to use computers to solve the problem of music style classification. The personalized recommendation has been applied in all aspects of social life. Music recommendation is an important part of music recommendation. Based on the theory of musicology and data mining technology, this paper puts forward an algorithm of style classification based on music files and personalized recommendation of the audience. The experiment shows that the classification and recommendation of music style based on the algorithm described in this paper is feasible and practical.