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A quantitative analysis of the impact of explicit incorporation of recency, seasonality and model specialization into fine-grained tourism demand prediction models

Forecasting is of utmost importance for the Tourism Industry. The development of models to predict visitation demand to specific places is essential to formulate adequate tourism development plans and policies. Yet, only a handful of models deal with the hard problem of fine-grained (per attraction)...

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Detalles Bibliográficos
Autores principales: Khatibi, Amir, Couto da Silva, Ana Paula, Almeida, Jussara M., Gonçalves, Marcos A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731488/
https://www.ncbi.nlm.nih.gov/pubmed/36480566
http://dx.doi.org/10.1371/journal.pone.0278112

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