Context-Aware Music Recommender Systems for Groups: A Comparative Study
Nowadays, recommender systems are present in multiple application domains, such as e-commerce, digital libraries, music streaming services, etc. In the music domain, these systems are especially useful, since users often like to listen to new songs and discover new bands. At the same time, group mus...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Information |
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| Online Access: | https://www.mdpi.com/2078-2489/12/12/506 |
| _version_ | 1827672016435544064 |
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| author | Adrián Valera Álvaro Lozano Murciego María N. Moreno-García |
| author_facet | Adrián Valera Álvaro Lozano Murciego María N. Moreno-García |
| author_sort | Adrián Valera |
| collection | DOAJ |
| description | Nowadays, recommender systems are present in multiple application domains, such as e-commerce, digital libraries, music streaming services, etc. In the music domain, these systems are especially useful, since users often like to listen to new songs and discover new bands. At the same time, group music consumption has proliferated in this domain, not just physically, as in the past, but virtually in rooms or messaging groups created for specific purposes, such as studying, training, or meeting friends. Single-user recommender systems are no longer valid in this situation, and group recommender systems are needed to recommend music to groups of users, taking into account their individual preferences and the context of the group (when listening to music). In this paper, a group recommender system in the music domain is proposed, and an extensive comparative study is conducted, involving different collaborative filtering algorithms and aggregation methods. |
| first_indexed | 2024-03-10T03:53:50Z |
| format | Article |
| id | doaj.art-92fd9dfa3d7a4b7da5a377475b216c87 |
| institution | Directory Open Access Journal |
| issn | 2078-2489 |
| language | English |
| last_indexed | 2024-03-10T03:53:50Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj.art-92fd9dfa3d7a4b7da5a377475b216c872023-11-23T08:51:29ZengMDPI AGInformation2078-24892021-12-01121250610.3390/info12120506Context-Aware Music Recommender Systems for Groups: A Comparative StudyAdrián Valera0Álvaro Lozano Murciego1María N. Moreno-García2Department of Computer Science and Automation, Science Faculty, University of Salamanca, Plaza de los Caídos s/n, 37008 Salamanca, SpainDepartment of Computer Science and Automation, Science Faculty, University of Salamanca, Plaza de los Caídos s/n, 37008 Salamanca, SpainDepartment of Computer Science and Automation, Science Faculty, University of Salamanca, Plaza de los Caídos s/n, 37008 Salamanca, SpainNowadays, recommender systems are present in multiple application domains, such as e-commerce, digital libraries, music streaming services, etc. In the music domain, these systems are especially useful, since users often like to listen to new songs and discover new bands. At the same time, group music consumption has proliferated in this domain, not just physically, as in the past, but virtually in rooms or messaging groups created for specific purposes, such as studying, training, or meeting friends. Single-user recommender systems are no longer valid in this situation, and group recommender systems are needed to recommend music to groups of users, taking into account their individual preferences and the context of the group (when listening to music). In this paper, a group recommender system in the music domain is proposed, and an extensive comparative study is conducted, involving different collaborative filtering algorithms and aggregation methods.https://www.mdpi.com/2078-2489/12/12/506group recommender systemsmusic recommendationcontext-aware recommender systemscollaborative filtering |
| spellingShingle | Adrián Valera Álvaro Lozano Murciego María N. Moreno-García Context-Aware Music Recommender Systems for Groups: A Comparative Study Information group recommender systems music recommendation context-aware recommender systems collaborative filtering |
| title | Context-Aware Music Recommender Systems for Groups: A Comparative Study |
| title_full | Context-Aware Music Recommender Systems for Groups: A Comparative Study |
| title_fullStr | Context-Aware Music Recommender Systems for Groups: A Comparative Study |
| title_full_unstemmed | Context-Aware Music Recommender Systems for Groups: A Comparative Study |
| title_short | Context-Aware Music Recommender Systems for Groups: A Comparative Study |
| title_sort | context aware music recommender systems for groups a comparative study |
| topic | group recommender systems music recommendation context-aware recommender systems collaborative filtering |
| url | https://www.mdpi.com/2078-2489/12/12/506 |
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