Profiling the Mobility of Tourists Exploring Social Sensing

Autor(es)

Ferreira, Ana Paula G. ; Silva, Thiago H. ; Loureiro, Antonio A. F. ; IEEE

• Tipo de documento: Artigo Científico
• Fonte: 2019 15TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS); v. N/A, p. 8-pg., 2019-01-01.

Resumo

Tourism has become a global economic force; for this reason, offer better services for tourists is indispensable. We explore social media data to study how tourists move through time and space and the factors that influence their movements in four major cities worldwide. In addition, we propose a new approach, based on a topic model, that enables the automatic identification of mobility pattern themes, which, ultimately, leads to the better understanding of the profile of users. Our results have implications in several segments, enabling better services for tourists in different locations that can be culturally distinct. (AU)

• Processo FAPESP: 15/24536-2 - Projeto de serviços e aplicações para IOT
• Beneficiário: Antonio Alfredo Ferreira Loureiro
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 15/24494-8 - Comunicação e processamento de big data em nuvens e névoas computacionais
• Beneficiário: Nelson Luis Saldanha da Fonseca
• Modalidade de apoio: Auxílio à Pesquisa - Temático