Profiling clients in the tourism sector using fuzzy linguistic models based on 2-tuples

Bueno, Itzcóatl; Porcel Gallego, Carlos Gustavo; Herrera Viedma, Enrique

doi:10.1016/j.procs.2022.01.089

1-s2.0-S1877050922000904-main.pdf (492.5Kb)

Identificadores

URI: http://hdl.handle.net/10481/74375

DOI: 10.1016/j.procs.2022.01.089

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Editorial

Elsevier

Materia

Fuzzy linguistic modeling

Customer opinion value

Multi-Criteria Decision-Making

Online customers segmentation

2-tuples model

Fecha

2022-02-03

Referencia bibliográfica

Itzcóatl Bueno... [et al.]. Profiling clients in the tourism sector using fuzzy linguistic models based on 2-tuples, Procedia Computer Science, Volume 199, 2022, Pages 718-724, ISSN 1877-0509, [https://doi.org/10.1016/j.procs.2022.01.089]

Patrocinador

Spanish Government PID2019-103880RB-I00 / AEI / 10.13039/501100011033

Resumen

Customer segmentation is a key piece of a company's business strategy. This paper presents a segmentation of the online users of tourism platforms through the recency, frequency and helpfulness of the users. 2-tuples model is applied to these variables to be more precise without loss of information. In addition, the functionality of the proposal made by the authors is verified through a use case in which TripAdvisor opinioners are segmented in reference to the experience lived in hotels and tourist accommodation.

Colecciones

DCCIA - Comunicaciones Congresos, Conferencias, ...

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