Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2016, Director: Santi Seguí Mesquida
This work is in the frame of data science. Its main aim is to develop a recommender system for purchasing airline tickets. The system will allow the user to purchase airline tickets at the right time when ticket prices are lower. To develop this flight recommender, it has been made an analysis of the evolution of prices on important dates. The analysis is based on the study of the evolution of prices over time to implement a system of price prediction for a specific date and thus give the user a recommendation on the best day to buy a ticket.