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

Eleonora Pantano, Constantinos-Vasilios Priporas, Nikolaos Stylos

Research output: Contribution to journalArticle (Academic Journal)peer-review

111 Citations (Scopus)
507 Downloads (Pure)


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.
Original languageEnglish
Pages (from-to)430-438
Number of pages9
JournalTourism Management
Early online date17 Jan 2017
Publication statusPublished - Jun 2017

Structured keywords

  • Smart Networks for Sustainable Futures
  • MGMT Marketing and Consumption


  • Online reviews
  • Tourism
  • Travel propositions


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