Compartir
Título
Context-aware music recommender system based on automatic detection of the user’s physical activity
Autor(es)
Materia
Context-aware recommender systems
Music
Physical activities
Entrainment
Emotional state
Clasificación UNESCO
1203.17 Informática
Fecha de publicación
2020
Editor
SpringerLink
Citación
Ospina Bohórquez, A., et al. (2020). Context-Aware Music Recommender System Based on Automatic Detection of the User’s Physical Activity. Advances in Intelligent Systems and Computing, vol 1237. Springer, Cham.
Serie / N.º
AISC;1237
Resumen
[EN] The large amount of music that can be accessed in streaming
nowadays has led to the development of more reliable music recommenda-
tion systems. To this end, context-aware music recommendation systems,
capable of suggesting music taking into account contextual information,
have emerged. Studies have shown that music helps to improve mood
while can change the focus of attention of users during the performance
of some activity, helping to make this activity more bearable. This work
presents a music Context Aware Recommender System in order to moti-
vate users in their daily activities. Its main purpose is to suggest to the
user the most appropriate music to improve the performance of the phys-
ical activity at recommending time. The conducted experiments along a
case study prove that this system is useful and satisfactory when the
activity does not require a great deal of concentration. During activities
that required movement, most users indicated that the perceived effort
decreases when using the recommendation system proposed. They also
indicated that their mood had improved after using this system. This
demonstrates the usefulness of this recommender system while doing
physical activities.
URI
ISBN
978-3-030-53035-8
Versión del editor
Colecciones