Search for: [Description = "The paper focuses on optimization vector content feature for the music recommendation system. For the purpose of experiments a database is created consisting of excerpts of music les. They are assigned to 22 classes corresponding to di erent music genres. Various feature vectors based on low\-level signal descriptors are tested and then optimized using correlation analysis and Principal Component Analysis \(PCA\). Results of the experiments are shown for the variety of feature vectors. Also, a music recommendation system is presented along with its main user interfaces."]

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