26 citations · 31 across the 3 of their papers we have counts for
5 papers
Simulations in Recommender Systems: An industry perspective
Lucas Bernardi, Sakshi Batra, Cintia Alicia Bruscantini
The construction of effective Recommender Systems (RS) is a complex process, mainly due to the nature of RSs which involves large scale software-systems and human interactions. Ite…
Machine Learning for Fraud Detection in E-Commerce: A Research Agenda
Niek Tax, Kees Jan de Vries, Mathijs de Jong +5
Fraud detection and prevention play an important part in ensuring the sustained operation of any e-commerce business. Machine learning (ML) often plays an important role in these a…
Mining the Stars: Learning Quality Ratings with User-facing Explanations for Vacation Rentals
Anastasiia Kornilova, Lucas Bernardi
Online Travel Platforms are virtual two-sided marketplaces where guests search for accommodations and accommodation providers list their properties such as hotels and vacation rent…
Free Lunch! Retrospective Uplift Modeling for Dynamic Promotions Recommendation within ROI Constraints
Dmitri Goldenberg, Javier Albert, Lucas Bernardi +1
Promotions and discounts have become key components of modern e-commerce platforms. For online travel platforms (OTPs), popular promotions include room upgrades, free meals and tra…
Learning to Match
Themis Mavridis, Pablo Estevez, Lucas Bernardi
Booking.com is a virtual two-sided marketplace where guests and accommodation providers are the two distinct stakeholders. They meet to satisfy their respective and different goals…