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Social-aware visualized exploration of tourist behaviours
conference contribution
posted on 2023-05-23, 18:40 authored by Li, M, Bao, Z, Song, L, Duh, HThe popularity of social media has generated an abundance of publicly available data about tourist behaviour. We aim to exploit this to provide a snapshot of customized routes for pre-trip tourists and help the tourism industry understand the real behaviour of tourists for better policy making. Therefore, we propose an analytic framework that is able to automatically collect, clean and integrate all forms of tourists' activity data from various social media sites, and provides an interactive yet visualized analysis to facilitate users' exploration of underlying data. Specifically, it is able to (1) support multidimensional views of tourists' trajectory data, e.g. temporally, spatially, textually, etc; (2) support multi-granularity visualization where the trajectory of either a group of tourists or a single tourist can be efficiently retrieved.
History
Publication title
ProceedingsEditors
IEEEPagination
289-292ISBN
978-1-4673-8796-5Department/School
School of Information and Communication TechnologyPublisher
Curran Associates Inc.Place of publication
Red Hook, New York, United StatesEvent title
2016 International Conference on Big Data and Smart Computing (BigComp 2016)Event Venue
Hong Kong, ChinaDate of Event (Start Date)
2016-01-18Date of Event (End Date)
2016-01-20Repository Status
- Restricted