Application of an opinion consensus aggregation model based on OWA operators to the recommendation of tourist sites
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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.
SponsorshipThe authors would like to acknowledge the financial support from the EU project H2020-MSCA-IF-2016- DeciTrustNET-746398. This paper has been elaborated with the financing of FEDER funds in the Spanish National research project TIN2016-75850-R.
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.