Peer-to-Peer Tourism: Tourists’ Profile Estimation through Artificial Neural Networks Moral Cuadra, Salvador Solano Sánchez, Miguel Ángel López-Guzmán Guzmán, Tomás Menor Campos, Antonio Sharing Economy Collaborative tourism Tourist profile Peer-to-peer accommodation Artificial neural networks Multilayer perceptron Peer-to-peer tourism is one of the great global trends that is transforming the tourism sector, introducing several changes in many aspects of tourism, such as the way of travelling, staying or living the experience in the destination. This research aims to determine the relationship between the sociodemographic characteristics of tourists interested in peer-to-peer accommodation and the importance they give to various motivational factors about this type of tourism in a “culturaltourism” city. The methodology used in this research is an artificial neural network of the multilayer perceptron type to estimate a sociodemographic profile of the peer-to-peer accommodation tourist user based on predetermined input values consisting of the answers to the Likert-type questions previously carried out using a questionnaire. Thus, the model developed, through a customized set of answers to these questions, allows the presentation of a “composite picture” of a peer-to-peer tourist based on sociodemographic characteristics. This function is especially interesting for adapting the peer-to-peer hosting offer according to the preferences of potential users. 2021-05-26T08:25:17Z 2021-05-26T08:25:17Z 2021 info:eu-repo/semantics/article Moral-Cuadra, S.; Solano-Sánchez, M.Á.; López-Guzmán, T.; Menor-Campos, A. Peer-to-Peer Tourism: Tourists’ Profile Estimation through Artificial Neural Networks. J. Theor. Appl. Electron. Commer. Res. 2021, 16, 1120–1135. https:// doi.org/10.3390/jtaer16040063 http://hdl.handle.net/10481/68732 10.3390/jtaer16040063 eng http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/openAccess Atribución 3.0 España MDPI