Context-aware music recommender system based on automatic detection of the user’s physical activity
| Autor: | Ospina Bohórquez, Alejandra, Gil González, Ana Belén, Moreno García, María Navelonga, Luis Reboredo, Ana de |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | GREDOS. Repositorio Institucional de la Universidad de Salamanca instname |
| Popis: | [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. |
| Databáze: | OpenAIRE |
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