Analyzing A Touristic Event Popularity Using Social Networks

  • Pedro Pongelupe Lopes PUC Minas
  • Humberto T. Marques-Neto PUC Minas

Resumo

Context-aware recommendation systems use contextual data to recommend a fully personalized suggestion to their users, for instance, using the massive workloads produced by the usage of mobile apps. In this paper, we collected and analyzed a dataset from social media related to the Belo Horizonte’s 2020 Carnival to understand how this event attracts tourists (or Belo Horizonte’s non-resident), analyzing their interactions with a large recommendation system. We built a point-of-view of an event mixing its features in two social networks: Twitter and Google Review. Our results show that combining traits lead to better information about the given context using social networks. It helps both the tourists choosing where to travel and the local establishments to provide better services.

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Publicado
2021-11-05
Como Citar
LOPES, Pedro Pongelupe; MARQUES-NETO, Humberto T.. Analyzing A Touristic Event Popularity Using Social Networks. Anais Estendidos do Simpósio Brasileiro de Sistemas Multimídia e Web (WebMedia), [S.l.], p. 41-44, nov. 2021. ISSN 2596-1683. Disponível em: <https://sol.sbc.org.br/index.php/webmedia_estendido/article/view/17609>. Acesso em: 18 maio 2024. doi: https://doi.org/10.5753/webmedia_estendido.2021.17609.
Seção
Concurso de Trabalhos de Iniciação Científica