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2020 – today
- 2022
[c8]Ioannis Kangas, Maud Schwoerer, Lucas Bernardi:
Scalable User Interface Optimization Using Combinatorial Bandits. SIGIR 2022: 3375-3379- 2021
- [c7]Ioannis Kangas, Maud Schwoerer, Lucas J. Bernardi:
Recommender Systems for Personalized User Experience: Lessons learned at Booking.com. RecSys 2021: 583-586 - [c6]Anastasiia Kornilova, Lucas Bernardi:
Mining the Stars: Learning Quality Ratings with User-facing Explanations for Vacation Rentals. WSDM 2021: 976-983 - [i8]Anastasiia Kornilova, Lucas Bernardi:
Mining the Stars: Learning Quality Ratings with User-facing Explanations for Vacation Rentals. CoRR abs/2101.10737 (2021) - [i7]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 abs/2107.01979 (2021) - [i6]Lucas Bernardi, Sakshi Batra, Cintia Alicia Bruscantini:
Simulations in Recommender Systems: An industry perspective. CoRR abs/2109.06723 (2021) - 2020
- [c5]Lucas Bernardi, Pablo Estevez, Matias Eidis, Eqbal Osama:
Recommending Accommodation Filters with Online Learning. ORSUM@RecSys 2020 - [c4]Dmitri Goldenberg, Javier Albert, Lucas Bernardi, Pablo Estevez:
Free Lunch! Retrospective Uplift Modeling for Dynamic Promotions Recommendation within ROI Constraints. RecSys 2020: 486-491 - [i5]Dmitri Goldenberg, Javier Albert, Lucas Bernardi, Pablo Estevez:
Free Lunch! Retrospective Uplift Modeling for Dynamic Promotions Recommendation within ROI Constraints. CoRR abs/2008.06293 (2020)
2010 – 2019
- 2019
- [c3]Lucas Bernardi, Themistoklis Mavridis, Pablo Estevez:
150 Successful Machine Learning Models: 6 Lessons Learned at Booking.com. KDD 2019: 1743-1751 - 2018
- [i4]Themis Mavridis, Pablo Estevez, Lucas Bernardi:
Learning to Match. CoRR abs/1802.03102 (2018) - 2016
- [i3]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 abs/1607.07904 (2016) - 2015
- [c2]Lucas Bernardi, Jaap Kamps, Julia Kiseleva, Melanie J. I. Müller:
The Continuous Cold-start Problem in e-Commerce Recommender Systems. CBRecSys@RecSys 2015: 30-33 - [c1]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: 1097-1100 - [i2]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 abs/1506.00904 (2015) - [i1]Lucas Bernardi, Jaap Kamps, Julia Kiseleva, Melanie J. I. Müller:
The Continuous Cold Start Problem in e-Commerce Recommender Systems. CoRR abs/1508.01177 (2015)
Coauthor Index
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