Lucas Bernardi

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 17

Top Topics

Recommender Systems

Preference Models

Collaborative Filtering

Top Venues

CBRecSys@RecSys

Publications

Georgios Christos Chouliaras, Kornel Kielczewski, Amit Beka, David Konopnicki, Lucas Bernardi
Best Practices for Machine Learning Systems: An Industrial Framework for Analysis and Optimization. CoRR (2023)
Ioannis Kangas, Maud Schwoerer, Lucas Bernardi
Scalable User Interface Optimization Using Combinatorial Bandits. SIGIR (2022)
Niek Tax, Kees Jan de Vries, Mathijs de Jong, Nikoleta Dosoula, Bram van den Akker, Jon Smith, Olivier Thuong, Lucas Bernardi
Machine Learning for Fraud Detection in E-Commerce: A Research Agenda. CoRR (2021)
Anastasiia Kornilova, Lucas Bernardi
Mining the Stars: Learning Quality Ratings with User-facing Explanations for Vacation Rentals. WSDM (2021)
Anastasiia Kornilova, Lucas Bernardi
Mining the Stars: Learning Quality Ratings with User-facing Explanations for Vacation Rentals. CoRR (2021)
Dmitri Goldenberg, Sarai Mizrachi, Adam Horowitz, Ioannis Kangas, Or Levkovich, Alessandro Mozzato, Maud Schwoerer, Michele Ferretti, Panagiotis Korvesis, Lucas Bernardi
I Know What You Did Next Summer: Challenges in Travel Destinations Recommendation. RecTour@RecSys (2021)
Lucas Bernardi, Sakshi Batra, Cintia Alicia Bruscantini
Simulations in Recommender Systems: An industry perspective. CoRR (2021)
Dmitri Goldenberg, Javier Albert, Lucas Bernardi, Pablo Estevez
Free Lunch! Retrospective Uplift Modeling for Dynamic Promotions Recommendation within ROI Constraints. CoRR (2020)
Lucas Bernardi, Pablo Estevez, Matias Eidis, Eqbal Osama
Recommending Accommodation Filters with Online Learning. ORSUM@RecSys (2020)
Dmitri Goldenberg, Javier Albert, Lucas Bernardi, Pablo Estevez
Free Lunch! Retrospective Uplift Modeling for Dynamic Promotions Recommendation within ROI Constraints. RecSys (2020)
Lucas Bernardi, Themistoklis Mavridis, Pablo Estevez
150 Successful Machine Learning Models: 6 Lessons Learned at Booking.com. KDD (2019)
Themis Mavridis, Pablo Estevez, Lucas Bernardi
Learning to Match. CoRR (2018)
Julia Kiseleva, Alexander Tuzhilin, Jaap Kamps, Melanie J. I. Müller, Lucas Bernardi, Chad Davis, Ivan Kovacek, Mats Stafseng Einarsen, Djoerd Hiemstra
Beyond Movie Recommendations: Solving the Continuous Cold Start Problem in E-commerceRecommendations. CoRR (2016)
Lucas Bernardi, Jaap Kamps, Julia Kiseleva, Melanie J. I. Müller
The Continuous Cold-start Problem in e-Commerce Recommender Systems. CBRecSys@RecSys (2015)
Lucas Bernardi, Jaap Kamps, Julia Kiseleva, Melanie J. I. Müller
The Continuous Cold Start Problem in e-Commerce Recommender Systems. CoRR (2015)
Julia Kiseleva, Melanie J. I. Müller, Lucas Bernardi, Chad Davis, Ivan Kovacek, Mats Stafseng Einarsen, Jaap Kamps, Alexander Tuzhilin, Djoerd Hiemstra
Where to Go on Your Next Trip?: Optimizing Travel Destinations Based on User Preferences. SIGIR (2015)
Julia Kiseleva, Melanie J. I. Müller, Lucas Bernardi, Chad Davis, Ivan Kovacek, Mats Stafseng Einarsen, Jaap Kamps, Alexander Tuzhilin, Djoerd Hiemstra
Where to Go on Your Next Trip? Optimizing Travel Destinations Based on User Preferences. CoRR (2015)