The Priberam Machine Learning Lunch Seminars are a series of informal meetings which occur every two weeks at Instituto Superior Técnico, in Lisbon. It works as a discussion forum involving different research groups, from IST and elsewhere. Its participants are interested in areas such as (but not limited to): statistical machine learning, signal processing, pattern recognition, computer vision, natural language processing, computational biology, neural networks, control systems, reinforcement learning, or anything related (even if vaguely) with machine learning.

The seminars last for about one hour (including time for discussion and questions) and revolve around the general topic of Machine Learning. The speaker is a volunteer who decides the topic of his/her presentation. Past seminars have included presentations about state-of-the-art research, surveys and tutorials, practicing a conference talk, presenting a challenging problem and asking for help, and illustrating an interesting application of Machine Learning such as a prototype or finished product.

Presenters can have any background: undergrads, graduate students, academic researchers, company staff, etc. Anyone is welcome both to attend the seminar as well as to present it. Ocasionally we will have invited speakers. See below for a list of all seminars, including the speakers, titles and abstracts.

Note: The seminars are held at lunch-time, and include delicious free food.

Feel free to join our mailing list, where seminar topics are announced beforehand. You may also visit the mailing list webpage. Anyone can attend the seminars. If you would like to present something, please send us an email.

The seminars are usually held every other Tuesday, from 1 PM to 2 PM, at the IST campus in Alameda. This sometimes changes due to availability of the speakers, so check regularly!

Tuesday, June 5th 2018, 13h00 - 14h00

Nuno António (ISCTE-IUL and Instituto de Telecomunicações)

Hotel Bookings Cancellation Prediction


Instituto Superior Técnico - Alameda


Booking cancellations contribute negatively to the production of accurate forecasts, a critical tool in the hospitality industry. To lessen this influence, hotels implement rigid cancellation policies and overbooking strategies, which in turn can negatively impact revenue and the hotel’s social reputation. To tackle the uncertainty arising from booking cancellations, we combined data from eight hotels’ bookings management systems with data from other sources (weather, holidays, events, social reputation, and online prices/inventory) to develop booking cancellation prediction models. To test these models in a real production environment and assess the models impact on business, an automated machine learning system prototype was built and deployed in two hotels. In this talk, we will present how the models and the prototype were developed and deployed, as well as the results obtained.


Bio: Nuno is currently pursuing a PhD degree in Computer Science at ISCTE-IUL, Portugal. Nuno holds a Masters in Hotel Administration and Management from the School of Management, Hospitality and Tourism of the University of the Algarve, Portugal and a degree in Software Engineering from ISMAT/Lusófona, Portugal. He is actually Chief Technology Officer at Itbase/WareGuest, a software development company specialized in the hospitality and retail industries. He is also an invited lecturer at the School of Management, Hospitality and Tourism of the University of the Algarve, Portugal. Nuno is certified in Business Intelligence, specialization of Business Analytics by TDWI – The Data-Warehousing Institute. He is a certified ScrumMaster and member of the Scrum Alliance and, he is also certified as Project Management Associate by IPMA - International Project Management Association and a member of APOJEP – Portuguese project managers’ association.

Eventbrite - Hotel Bookings Cancellation Prediction