Improving next location prediction with inferred activity semantics in mobile phone data
Accurately predicting the next location of mobile phone users is essential for various applications such as personalized location-based services and mobile marketing. While previous models have relied primarily on spatiotemporal sequences (e.g. location and time information), recent research has beg...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Taylor & Francis Group
2025-12-01
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| Series: | International Journal of Digital Earth |
| Assuntos: | |
| Acceso en liña: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2552880 |
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