Using Machine Learning and Deep Learning Techniques to Predict Hotel Booking Cancellations

Aug 4, 2026

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A dissertation focused on applying machine learning and deep learning to forecast hotel booking cancellations. The work is conducted within an electrical and computer engineering master program at NOVA University Lisbon, in collaboration with Host Hotel Systems. It frames the problem of converting booking data into actionable predictive knowledge, supported by academic supervision and industry guidance. The study emphasizes building models that improve decision-making around cancellation risk while addressing practical needs from the hospitality context.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages94

Reading Time3 h 57 min

AccessFree to download

Acknowledgements

Project motivation and gratitude

DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING DIOGO ABRANTES DE SOUSA BSc Electrical and Computer Engineering USING MACHINE LEARNING AND DEEP LEARNING TECHNIQUES TO PREDICT HOTEL BOOKING CANCELLATIONS MASTER IN ELECTRICAL AND COMPUTER ENGINEERING NOVA University Lisbon March, 2024 DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING USING MACHINE LEARNING AND DEEP LEARNING TECHNIQUES TO PREDICT HOTEL BOOKING CANCELLATIONS DIOGO ABRANTES DE SOUSA BSc Electrical and Computer Engineering Adviser: João Almeida das Rosas Assistant Professor, NOVA University Lisbon Co-adviser: João Paulo Ferreira Dias CTO, Host Hotel Systems Examination Committee Chairs: Rui Manuel Leitão Tavares Assistant Professor, NOVA University Lisbon Ana Inês da Silva Oliveira Assistant Professor, NOVA University Lisbon Adviser: João Almeida das Rosas Assistant Professor, NOVA University Lisbon MASTER IN ELECTRICAL AND COMPUTER ENGINEERING NOVA University Lisbon March, 2024 Using machine learning and deep learning techniques to predict hotel booking cancellations Copyright © Diogo Abrantes de Sousa, NOVA School of Science and Technology, NOVA University Lisbon. The NOVA School of Science and Technology and the NOVA University Lisbon have the right, perpetual and without geographical boundaries, to file and publish this dissertation through printed copies reproduced on paper or on digital form, or by any other means known or that may be invented, and to disseminate through scientific repositories and admit its copying and distribution for non-commercial, educational or research purposes, as long as credit is given to the author and editor. This document was created with the (pdf/Xe/Lua)LATEX processor and the NOVAthesis template (v7.0.3) [novathesis-manual] . To my grandfather, António. Acknowledgements I would like to take this opportunity to express my sincere thanks to all those who who contributed to the completion of this project. First of all, to João Dias, CTO of Host Hotel Systems, not only for the opportunity to carry out this dissertation in conjunction with HHS, but also for all the help and advice he has given me over the last year. Next, I would like to thank my supervisor João Rosas, for accepting this challenge and for the guidance he has given me throughout this project. Next, I would like to thank the most important people in this whole process, my parents Manuel and Angela, and my sister Carolina. I will be eternally grateful for all the love, support and trust they have placed in me, especially over the last five years. To Tatiana, my girlfriend, for all the love, patience and for never stopping believing in me. To my grandparents, Francisco, Francisca and Diamantina, whom I miss very much. To the friends that college has given me over the last five years, Caetano, Vaqueira, Tomás, André, Filipa, Eduardo and Hugo, thank you for sharing this journey with me. Every sleepless night will be rewarded, never doubt it. I would like to thank all my coworkers at Host, especially the development team, for accompanying me over the last year. Finally, I’d like to say a special thank you to my grandfather António. Thank you for all the love, all the stories, all the conversations and all the teachings. I hope you never stop following me, wherever you are. „ “Big data is no use if you can’t turn it into knowledge.” —Pedro Domingos, Master Algorithm (Professor, researcher and engineer)

FAQs

What is the main goal of the dissertation?

To predict hotel booking cancellations using machine learning and deep learning techniques.

Where is the dissertation produced and under which program?

It is prepared at NOVA University Lisbon as part of the Master in Electrical and Computer Engineering.

Which organizations are involved in the project?

The work is carried out with Host Hotel Systems, with academic advisers from NOVA University Lisbon providing supervision and guidance.

Aug 4, 2026

Upload by Quinn