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Music Recommendation Based on Multidimensional Description and Similarity Measures . Rekomendacja muzyki na podstawie wielowymiarowego wektora cech i miar podobieństwa
Abstract
This study aims to create an algorithm for assessing the degree to which songs belong to genres defined a priori. Such an algorithm is not aimed at providing unambiguous classification-labelling of songs, but at producing a multidimensional description encompassing all of the defined genres. The algorithm utilized data derived from the most relevant examples belonging to a particular genre of music. For this condition to be met, data must be appropriately selected. It is based on the fuzzy logic principles, which will be addressed further. The paper describes all steps of experiments along with examples of analyses and results obtained.
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Details
- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
FUNDAMENTA INFORMATICAE
no. 127,
pages 325 - 340,
ISSN: 0169-2968 - Language:
- English
- Publication year:
- 2013
- Bibliographic description:
- Kostek B., Kaczmarek A.: Music Recommendation Based on Multidimensional Description and Similarity Measures . Rekomendacja muzyki na podstawie wielowymiarowego wektora cech i miar podobieństwa// FUNDAMENTA INFORMATICAE. -Vol. 127, nr. 1-4 (2013), s.325-340
- Verified by:
- Gdańsk University of Technology
Referenced datasets
- dataset SYNAT_MUSIC_GENRE_FV_173
- dataset SYNAT Music Genre Parameters PCA 19
- dataset SYNAT_PCA_48
- dataset SYNAT_PCA_11
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