Lucas Bernardi

According to our database, Lucas Bernardi authored at least 14 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Best Practices for Machine Learning Systems: An Industrial Framework for Analysis and Optimization.

Georgios Christos Chouliaras, Kornel Kielczewski, Amit Beka, David Konopnicki, Lucas Bernardi

CoRR, 2023

2022

Scalable User Interface Optimization Using Combinatorial Bandits.

Ioannis Kangas, Maud Schwoerer, Lucas Bernardi

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Simulations in Recommender Systems: An industry perspective.

Lucas Bernardi, Sakshi Batra, Cintia Alicia Bruscantini

CoRR, 2021

Machine Learning for Fraud Detection in E-Commerce: A Research Agenda.

Niek Tax, Kees Jan de Vries, Mathijs de Jong, Nikoleta Dosoula, Bram van den Akker, Jon Smith, Olivier Thuong, Lucas Bernardi

CoRR, 2021

Mining the Stars: Learning Quality Ratings with User-facing Explanations for Vacation Rentals.

Anastasiia Kornilova, Lucas Bernardi

Proceedings of the WSDM '21, 2021

I Know What You Did Next Summer: Challenges in Travel Destinations Recommendation.

Dmitri Goldenberg, Sarai Mizrachi, Adam Horowitz, Ioannis Kangas, Or Levkovich, Alessandro Mozzato, Maud Schwoerer, Michele Ferretti, Panagiotis Korvesis, Lucas Bernardi

Proceedings of the Workshop on Recommenders in Tourism co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

Recommender Systems for Personalized User Experience: Lessons learned at Booking.com.

Ioannis Kangas, Maud Schwoerer, Lucas J. Bernardi

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020

Free Lunch! Retrospective Uplift Modeling for Dynamic Promotions Recommendation within ROI Constraints.

Dmitri Goldenberg, Javier Albert, Lucas Bernardi, Pablo Estevez

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Recommending Accommodation Filters with Online Learning.

Lucas Bernardi, Pablo Estevez, Matias Eidis, Eqbal Osama

Proceedings of the 3rd Workshop on Online Recommender Systems and User Modeling co-located with the 14th ACM Conference on Recommender Systems (RecSys 2020), 2020

2019

150 Successful Machine Learning Models: 6 Lessons Learned at Booking.com.

Lucas Bernardi, Themistoklis Mavridis, Pablo Estevez

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Learning to Match.

Themis Mavridis, Pablo Estevez, Lucas Bernardi

CoRR, 2018

2016

Beyond Movie Recommendations: Solving the Continuous Cold Start Problem in E-commerceRecommendations.

Julia Kiseleva, Alexander Tuzhilin, Jaap Kamps, Melanie J. I. Müller, Lucas Bernardi, Chad Davis, Ivan Kovacek, Mats Stafseng Einarsen, Djoerd Hiemstra

CoRR, 2016

2015

Where to Go on Your Next Trip?: Optimizing Travel Destinations Based on User Preferences.

Julia Kiseleva, Melanie J. I. Müller, Lucas Bernardi, Chad Davis, Ivan Kovacek, Mats Stafseng Einarsen, Jaap Kamps, Alexander Tuzhilin, Djoerd Hiemstra

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

The Continuous Cold-start Problem in e-Commerce Recommender Systems.

Lucas Bernardi, Jaap Kamps, Julia Kiseleva, Melanie J. I. Müller

Proceedings of the 2nd Workshop on New Trends on Content-Based Recommender Systems co-located with 9th ACM Conference on Recommender Systems (RecSys 2015), 2015