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Towards accurate models for predicting smartphone applications’ QoE with data from a living lab study
Progressively, smartphones have become the pocket Swiss army knife for everyone. They support their users needs to accomplish tasks in numerous contexts. However, the applications executing those tasks are regularly not performing as they should, and the user-perceived experience is altered. In this...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer International Publishing
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7548107/ https://www.ncbi.nlm.nih.gov/pubmed/33088903 http://dx.doi.org/10.1007/s41233-020-00039-w |