Dennis, Charles

Pantano, Eleonora

Priporas, Constantinos-Vasilios

Stylos, Nikolaos

English

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

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Facilitating tourists' decision making through open data analyses:A novel recommender system

https://research-information.bris.ac.uk/files/204908139/Full_text_PDF_accepted_author_manuscript_.pdf

Facilitating tourists' decision making through open data analyses:A novel recommender system

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