C4.5: programs for machine learning
C4.5: programs for machine learning
ROCK: a robust clustering algorithm for categorical attributes
Information Systems
Data mining: concepts and techniques
Data mining: concepts and techniques
Popular music retrieval by detecting mood
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Emotion-based music recommendation by association discovery from film music
Proceedings of the 13th annual ACM international conference on Multimedia
A music recommendation system based on music and user grouping
Journal of Intelligent Information Systems - Special issue: Intelligent multimedia applications
Automatic mood detection and tracking of music audio signals
IEEE Transactions on Audio, Speech, and Language Processing
A novel method for personalized music recommendation
Expert Systems with Applications: An International Journal
Machine Recognition of Music Emotion: A Review
ACM Transactions on Intelligent Systems and Technology (TIST)
Hi-index | 0.01 |
With the development of multimedia technology, research on music is getting more and more popular. Nowadays researchers focus on studying the relationship between music and listeners’ emotions but they didn’t consider users’ differences. Therefore, we propose a Personalized Music Emotion Prediction (P-MEP) System to assist predicting listeners’ music emotion concerning with users’ differences. To analyze listeners’ emotional response to music, the P-MEP rules will be generated in the analysis procedure consisting of 5 phases. During the application procedure, the P-MEP System predicts the new listener’s emotional response to music. The result of the experiment shows that the generated P-MEP rules can be used to predict emotional response to music concerning with listeners’ differences.