I. Introduction
So far, the development of music has produced a large number of different genres, and today there are about 1300 music genres in total. In particular, the various genres have different audiences. In the current mainstream music apps, the function of music recommendation has been very mature, including the user's daily playlist recommendation, and the recommendation of related types of songs. These features can help users discover more favorite music. However, music recommendations are limited, and the recommended content can only contain a single song rather than a music genre. Generally speaking, music genres can represent a person's listening preferences and can better help users find their favorite music. At present, there are few functions for music genre recommendation in the music app. Therefore, in order to help users discover their favorite genres more comprehensively, this paper proposes a music genre recommendation method based on user portraits.