Peer-to-Peer Tourism: Tourists’ Profile Estimation through Artificial Neural Networks

Peer-to-peer tourism is one of the great global trends that transforming sector, introducing several changes in many aspects tourism, such as way travelling, staying or living experience destination. This research aims to determine relationship between sociodemographic characteristics tourists interested peer-to-peer accommodation and importance they give various motivational factors about this type a “cultural-tourism” city. The methodology used an artificial neural network multilayer perceptron estimate profile tourist user based on predetermined input values consisting answers Likert-type questions previously carried out using questionnaire. Thus, model developed, through customized set these questions, allows presentation “composite picture” characteristics. function especially interesting for adapting hosting offer according preferences potential users.