Application of an opinion consensus aggregation model based on OWA operators to the recommendation of tourist sites Bueno, Itzcóatl Carrasco, Ramón Alberto Ureña, Raquel Herrera Viedma, Enrique 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. 2020-03-12T08:20:20Z 2020-03-12T08:20:20Z 2019 info:eu-repo/semantics/article Bueno, I., Carrasco, R. A., Ureña, R., & Herrera-Viedma, E. (2019). Application of an opinion consensus aggregation model based on OWA operators to the recommendation of tourist sites. Procedia Computer Science, 162, 539-546. http://hdl.handle.net/10481/60225 10.1016/j.procs.2019.12.021 eng http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess Atribución-NoComercial-SinDerivadas 3.0 España Elsevier BV