Tourists Profiling by Interest Analysis

Fuente: arXiv
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Auteurs principaux: Djebali, Sonia, Gabot, Quentin, Guerard, Guillaume
Format: Preprint
Publié: 2025
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author Djebali, Sonia
Gabot, Quentin
Guerard, Guillaume
author_facet Djebali, Sonia
Gabot, Quentin
Guerard, Guillaume
contents With the recent digital revolution, analyzing of tourists' behaviors and research fields associated with it have changed profoundly. It is now easier to examine behaviors of tourists using digital traces they leave during their travels. The studies conducted on diverse aspects of tourism focus on quantitative aspects of digital traces to reach its conclusions. In this paper, we suggest a study focused on both qualitative and quantitative aspect of digital traces to understand the dynamics governing tourist behavior, especially those concerning attractions networks.
format Preprint
id arxiv_https___arxiv_org_abs_2512_14704
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Tourists Profiling by Interest Analysis
Djebali, Sonia
Gabot, Quentin
Guerard, Guillaume
Social and Information Networks
Artificial Intelligence
With the recent digital revolution, analyzing of tourists' behaviors and research fields associated with it have changed profoundly. It is now easier to examine behaviors of tourists using digital traces they leave during their travels. The studies conducted on diverse aspects of tourism focus on quantitative aspects of digital traces to reach its conclusions. In this paper, we suggest a study focused on both qualitative and quantitative aspect of digital traces to understand the dynamics governing tourist behavior, especially those concerning attractions networks.
title Tourists Profiling by Interest Analysis
topic Social and Information Networks
Artificial Intelligence
url https://arxiv.org/abs/2512.14704