This paper presents first a short review on music recommendation systems based on social collaborative filtering. A dictionary of terms related to music recommendation systems, such as music information retrieval (MIR), Query-by-Example (QBE), Query-by-Category (QBC), music content, music annotating, music tagging, bridging the semantic gap in music domain, etc. is introduced. Bases of music recommender systems are shortly presented, including the mechanisms underlying these systems. Also, usage of machine learning versus statistics is discussed with regard to the recommender systems working. Moreover, listening to music through players implemented on computers or mobile devices as opposed to listening to live music in the context of social and technology implications, i.e. live performance contrasting issues related to music quality. Finally, future directions in the music recommendation area and live music are discussed, including performance on virtual musical instruments.
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Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1109/acoustics.2018.8502385
- Category
- Aktywność konferencyjna
- Type
- materiały konferencyjne indeksowane w Web of Science
- Language
- angielski
- Publication year
- 2018