Title :
Cognitive map of tourist behavior based on Tripadvisor
Author :
Raimbault, Thomas ; Chareyron, Gael ; Krzyzanowski-Guillot, Corinne
Author_Institution :
De Vinci Technol. Lab., Univ. of Leonard de Vinci, Paris La Défense, France
Abstract :
The objective of this paper is to identify, based on data from Tripadvisor, tourist behavior in how users rate a tourist place. Firstly, we propose different correspondence analyses (CA) on data from Tripadvisor to discover pairwise dependences between data properties (e.g. rating vs. place type, age vs. country). Secondly, we merge and map all our CA results as a cognitive map, both to bring out and understand influences between the studied concepts and to make easier human visualization.
Keywords :
cognition; travel industry; cognitive map; correspondence analyses; human visualization; tourist behavior; tourist place; tripadvisor; Australia; Big data; Cities and towns; Computational modeling; Educational institutions; Europe; Object recognition; Tripadvisor; cognitive map; correspondence analysis; tourist behavior;
Conference_Titel :
Big Data (Big Data), 2014 IEEE International Conference on
Conference_Location :
Washington, DC
DOI :
10.1109/BigData.2014.7004492