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

HIGHLIGHTS

• who: Amir Khatibi et al. from the Department of Computer Science, Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil have published the paper: A quantitative analysis of the impact of explicit incorporation of recency, seasonality and model specialization into fine-grained tourism demand prediction models, in the Journal: PLOS ONE of February/17,/2022
• what: In this work, a new tourism prediction methodology is proposed that explicitly incorporates aspects related to recency, seasonality and specialization into the prediction models. In , the authors state that, regarding periodicity, the main focus of interest had been annual . . .
  

   

  

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