Facilitating tourists' decision making through open data analyses
A novel recommender system
Citation
Pantano, E, Priporas, C-V, Stylos, N & Dennis, C, 2019, ‘Facilitating tourists' decision making through open data analyses: A novel recommender system’. Tourism Management Perspectives, vol 31., pp. 323-331
Abstract
A number of studies have recently been published reporting researchers’ efforts to create new, more efficient recommender systems to support tourists’ decision making. This current research operationalizes a recommender system by filtering user-generated data that is abundantly available online, based on individuals’ evaluation criteria, to produce a dataset for analysis. Drawing upon an array of predictive models, this research proposes a new recommender system able to facilitate the tourist decision making process through successful managing of open data. It further presents a rating estimation method using ratings that pertain to online users-specified criteria (profile). The model is able to predict consumers’ ratings of a certain product with high reliability starting from open data on their profiles.
