A4 Artikkeli konferenssijulkaisussa
Emotion Based Music Recommendation System (2020)

Rumiantcev, M., & Khriyenko, O. (2020). Emotion Based Music Recommendation System. In S. Balandin, I. Paramonov, & T. Tyutina (Eds.), FRUCT '26 : Proceedings of the 26th Conference of Open Innovations Association FRUCT, Yaroslavl, Russia, 23-25 April 2020 (pp. 639-645). Fruct Oy. Proceedings of Conference of Open Innovations Association FRUCT. https://fruct.org/publications/acm26/files/Rum.pdf

JYU-tekijät tai -toimittajat

Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajat: Rumiantcev, Mikhail; Khriyenko, Oleksiy

Emojulkaisu: FRUCT '26 : Proceedings of the 26th Conference of Open Innovations Association FRUCT, Yaroslavl, Russia, 23-25 April 2020

Emojulkaisun toimittajat: Balandin, S.; Paramonov, I.; Tyutina, T.

Konferenssin paikka ja aika: Yaroslavl, Russia, 23.-24.4.2020

ISBN: 978-952-69244-2-7

Lehti tai sarja: Proceedings of Conference of Open Innovations Association FRUCT

ISSN: 2305-7254

eISSN: 2343-0737

Julkaisuvuosi: 2020

Artikkelin sivunumerot: 639-645

Kustantaja: Fruct Oy

Julkaisumaa: Suomi

Julkaisun kieli: englanti

Pysyvä verkko-osoite: https://fruct.org/publications/acm26/files/Rum.pdf

Julkaisun avoin saatavuus: Avoimesti saatavilla

Julkaisukanavan avoin saatavuus: Kokonaan avoin julkaisukanava

Julkaisu on rinnakkaistallennettu (JYX): https://jyx.jyu.fi/handle/123456789/68883

Tiivistelmä

Nowadays, music platforms provide easy access to large amounts of music. They are working continuously to improve music organization and search management thereby addressing the problem of choice and simplify exploring new music pieces. Recommendation systems gain more and more popularity and help people to select appropriate music for all occasions. However, there is still a gap in personalization and emotions driven recommendations. Music has a great influence on humans and is widely used for relaxing, mood regulation, destruction from stress and diseases, to maintain mental and physical work. There is a wide range of clinical settings and practices in music therapy for wellbeing support. This paper will present the design of the personalized music recommendation system, driven by listener feelings, emotions and activity contexts. With a combination of artificial intelligence technologies and generalized music therapy approaches, a recommendation system is targeted to help people with music selection for different life situations and maintain their mental and physical conditions.

YSO-asiasanat: musiikki; suositukset; suosittelujärjestelmät; tunteet; tekoäly; koneoppiminen

Liittyvät organisaatiot

OKM-raportointi: Kyllä

Raportointivuosi: 2020

JUFO-taso: 1