Pantano, E.; Priporas, C.; Stylos, N.

'You will like it!' Using open data to predict tourists' responses to a tourist attraction

Article

Pantano, E., Priporas, C. and Stylos, N. 2017. 'You will like it!' Using open data to predict tourists' responses to a tourist attraction. Tourism Management. 60, pp. 430-438. https://doi.org/10.1016/j.tourman.2016.12.020

Publication dates
Type	Article
Title	'You will like it!' Using open data to predict tourists' responses to a tourist attraction
Authors	Pantano, E., Priporas, C. and Stylos, N.
Abstract	The increasing amount of user-generated content spread via social networking services such as reviews, comments, and past experiences, has made a great deal of information available. Tourists can access this information to support their decision making process. This information is freely accessible online and generates so-called “open data”. While many studies have investigated the effect of online reviews on tourists’ decisions, none have directly investigated the extent to which open data analyses might predict tourists’ response to a certain destination. To this end, our study contributes to the process of predicting tourists’ future preferences via MathematicaTM, software that analyzes a large set of the open data (i.e. tourists’ reviews) that is freely available on tripadvisor. This is devised by generating the classification function and the best model for predicting the destination tourists would potentially select. The implications for the tourist industry are discussed in terms of research and practice.
Keywords	open data, online reviews, tourism, travel propositions
Publisher	Elsevier
Journal	Tourism Management
ISSN	0261-5177
Online	17 Jan 2017
Print	01 Jun 2017
Publication process dates
Deposited	10 Jan 2017
Accepted	29 Dec 2016
Output status	Published
Publisher's version	1-s2.0-S0261517716302680-main.pdf License CC BY-NC-ND 4.0
Accepted author manuscript	Will you like it_TM.pdf License CC BY-NC-ND 4.0
Copyright Statement	© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Digital Object Identifier (DOI)	https://doi.org/10.1016/j.tourman.2016.12.020
Language	English

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