| Full text | |
| Author(s): |
Ferreira, Ana Paula G.
;
Silva, Thiago H.
;
Loureiro, Antonio A. F.
;
IEEE
Total Authors: 4
|
| Document type: | Journal article |
| Source: | 2019 15TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS); v. N/A, p. 8-pg., 2019-01-01. |
| Abstract | |
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) | |
| FAPESP's process: | 15/24536-2 - Design of services and applications for IOT |
| Grantee: | Antonio Alfredo Ferreira Loureiro |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 15/24494-8 - Communications and processing of big data in cloud and fog computing |
| Grantee: | Nelson Luis Saldanha da Fonseca |
| Support Opportunities: | Research Projects - Thematic Grants |