Application of an opinion consensus aggregation model based on OWA operators to the recommendation of tourist sites | Zendy

Itzcóatl Bueno | Zendy; R.A. Carrasco | Zendy; Raquel Ureña | Zendy; Enrique HerreraViedma | Zendy

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Application of an opinion consensus aggregation model based on OWA operators to the recommendation of tourist sites

Author(s) -

Itzcóatl Bueno,

R.A. Carrasco,

Raquel Ureña,

Enrique HerreraViedma

Publication year - 2019

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2019.12.021

Subject(s) - computer science , variety (cybernetics) , tourism , recommender system , rank (graph theory) , order (exchange) , sentiment analysis , destinations , world wide web , data science , artificial intelligence , business , political science , law , mathematics , finance , combinatorics

Given the growth in tourism online data as a result of a large number of users posting their personal opinions in social networks and other online platforms with the idea to help other visitants, many authors have proposed a huge variety of ways to classify the sentiments contained in these opinions in order to recommend services (hotels, restaurants, etc.) and destinations to the users with the intention of facilitating their trip planning. In this paper, the authors propose a model to rank tourist sites of a city, based on OWA operators, with the objective of being used as a recommender system.

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