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

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Facilitating tourists' decision making through open data analyses : A novel recommender system. / Pantano, Eleonora; Priporas, Constantinos-Vasilios; Stylos, Nikolaos; Dennis, Charles.

In: Tourism Management Perspectives, Vol. 31, 02.07.2019, p. 323-331.

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Pantano, Eleonora ; Priporas, Constantinos-Vasilios ; Stylos, Nikolaos ; Dennis, Charles. / Facilitating tourists' decision making through open data analyses : A novel recommender system. In: Tourism Management Perspectives. 2019 ; Vol. 31. pp. 323-331.

Bibtex

@article{1330fc00285740dca7e2c8a09be04a2c,
title = "Facilitating tourists' decision making through open data analyses: A novel recommender system",
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.",
keywords = "Recommender system, tourist decision making process, consumer information processing, classifier systems, open data analysis",
author = "Eleonora Pantano and Constantinos-Vasilios Priporas and Nikolaos Stylos and Charles Dennis",
year = "2019",
month = "7",
day = "2",
doi = "10.1016/j.tmp.2019.06.003",
language = "English",
volume = "31",
pages = "323--331",
journal = "Tourism Management Perspectives",
issn = "2211-9736",
publisher = "Elsevier B.V.",

}

RIS - suitable for import to EndNote

TY - JOUR

T1 - Facilitating tourists' decision making through open data analyses

T2 - A novel recommender system

AU - Pantano, Eleonora

AU - Priporas, Constantinos-Vasilios

AU - Stylos, Nikolaos

AU - Dennis, Charles

PY - 2019/7/2

Y1 - 2019/7/2

N2 - 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.

AB - 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.

KW - Recommender system

KW - tourist decision making process

KW - consumer information processing

KW - classifier systems

KW - open data analysis

UR - http://www.scopus.com/inward/record.url?scp=85068120047&partnerID=8YFLogxK

U2 - 10.1016/j.tmp.2019.06.003

DO - 10.1016/j.tmp.2019.06.003

M3 - Article

VL - 31

SP - 323

EP - 331

JO - Tourism Management Perspectives

JF - Tourism Management Perspectives

SN - 2211-9736

ER -