Cargando…
Collective Prediction of Individual Mobility Traces for Users with Short Data History
We present and test a sequential learning algorithm for the prediction of human mobility that leverages large datasets of sequences to improve prediction accuracy, in particular for users with a short and non-repetitive data history such as tourists in a foreign country. The algorithm compensates fo...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2017
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5279749/ https://www.ncbi.nlm.nih.gov/pubmed/28135289 http://dx.doi.org/10.1371/journal.pone.0170907 |