Modeling of music connotative space for recommender system

Focusing on the music affective, a concept of music connotative space is introduced. The semantic polar scale is examined and the connotative space is constructed by musical strength, speed and intensity for music affective recommendation. The music connotative space bridges the gap between the objective levels of audio frequency characters and subject emotional rang inequality, and deals with the difference of music emotional label due to different listener experiences. According to 10 672 music records. the effectiveness of the proposed music connotative space is validated in terms of Kendall's tau distance. The music connotation space outperforms emotion label in music classification for music affective recommendation.