Context-aware music recommender system based on automatic detection of the user’s physical activity

[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...

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Detalles Bibliográficos
Autores: Ospina Bohórquez, Alejandra, Gil González, Ana Belén, Moreno García, María Navelonga, Luis Reboredo, Ana de
Tipo de recurso: libro
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Universidad de Salamanca (USAL)
Repositorio:GREDOS. Repositorio Institucional de la Universidad de Salamanca
OAI Identifier:oai:gredos.usal.es:10366/149859
Acceso en línea:http://hdl.handle.net/10366/149859
Access Level:acceso abierto
Palabra clave:Context-aware recommender systems
Music
Physical activities
Entrainment
Emotional state
1203.17 Informática
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spelling Context-aware music recommender system based on automatic detection of the user’s physical activityOspina Bohórquez, AlejandraGil González, Ana BelénMoreno García, María NavelongaLuis Reboredo, Ana deContext-aware recommender systemsMusicPhysical activitiesEntrainmentEmotional state1203.17 Informática[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.SpringerLink202220222020info:eu-repo/semantics/bookinfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10366/149859reponame:GREDOS. Repositorio Institucional de la Universidad de Salamancainstname:Universidad de Salamanca (USAL)InglésAISC;1237Attribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:gredos.usal.es:10366/1498592026-06-07T06:28:51Z
dc.title.none.fl_str_mv Context-aware music recommender system based on automatic detection of the user’s physical activity
title Context-aware music recommender system based on automatic detection of the user’s physical activity
spellingShingle Context-aware music recommender system based on automatic detection of the user’s physical activity
Ospina Bohórquez, Alejandra
Context-aware recommender systems
Music
Physical activities
Entrainment
Emotional state
1203.17 Informática
title_short Context-aware music recommender system based on automatic detection of the user’s physical activity
title_full Context-aware music recommender system based on automatic detection of the user’s physical activity
title_fullStr Context-aware music recommender system based on automatic detection of the user’s physical activity
title_full_unstemmed Context-aware music recommender system based on automatic detection of the user’s physical activity
title_sort Context-aware music recommender system based on automatic detection of the user’s physical activity
dc.creator.none.fl_str_mv Ospina Bohórquez, Alejandra
Gil González, Ana Belén
Moreno García, María Navelonga
Luis Reboredo, Ana de
author Ospina Bohórquez, Alejandra
author_facet Ospina Bohórquez, Alejandra
Gil González, Ana Belén
Moreno García, María Navelonga
Luis Reboredo, Ana de
author_role author
author2 Gil González, Ana Belén
Moreno García, María Navelonga
Luis Reboredo, Ana de
author2_role author
author
author
dc.subject.none.fl_str_mv Context-aware recommender systems
Music
Physical activities
Entrainment
Emotional state
1203.17 Informática
topic Context-aware recommender systems
Music
Physical activities
Entrainment
Emotional state
1203.17 Informática
description [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.
publishDate 2020
dc.date.none.fl_str_mv 2020
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/book
info:eu-repo/semantics/publishedVersion
format book
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10366/149859
url http://hdl.handle.net/10366/149859
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv AISC;1237
dc.rights.none.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv SpringerLink
publisher.none.fl_str_mv SpringerLink
dc.source.none.fl_str_mv reponame:GREDOS. Repositorio Institucional de la Universidad de Salamanca
instname:Universidad de Salamanca (USAL)
instname_str Universidad de Salamanca (USAL)
reponame_str GREDOS. Repositorio Institucional de la Universidad de Salamanca
collection GREDOS. Repositorio Institucional de la Universidad de Salamanca
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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