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Lucas Bernardi
Lucas Bernardi
Principal Data Scientist, Wildlife Studios
Verified email at wildlifestudios.com
Title
Cited by
Cited by
Year
150 Successful Machine Learning Models: 6 Lessons Learned at Booking.com
L Bernardi, T Mavridis, P Estevez
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
582019
The continuous cold start problem in e-commerce recommender systems
L Bernardi, J Kamps, J Kiseleva, MJI Müller
arXiv preprint arXiv:1508.01177, 2015
502015
Where to go on your next trip? Optimizing travel destinations based on user preferences
J Kiseleva, MJI Mueller, L Bernardi, C Davis, I Kovacek, ...
Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015
232015
Free Lunch! Retrospective Uplift Modeling for Dynamic Promotions Recommendation within ROI Constraints
D Goldenberg, J Albert, L Bernardi, P Estevez
https://dl.acm.org/doi/10.1145/3383313.3412215, 2020
122020
Beyond movie recommendations: Solving the continuous cold start problem in e-commerce recommendations
J Kiseleva, A Tuzhilin, J Kamps, MJI Mueller, L Bernardi, C Davis, ...
arXiv preprint arXiv:1607.07904, 2016
82016
Recommending Accommodation Filters with Online Learning.
L Bernardi, P Estevez, M Eidis, E Osama
ORSUM@ RecSys, 2020
62020
Recommender systems for personalized user experience: lessons learned at Booking. com
I Kangas, M Schwoerer, LJ Bernardi
Fifteenth ACM Conference on Recommender Systems, 583-586, 2021
32021
Mining the Stars: Learning Quality Ratings with User-facing Explanations for Vacation Rentals
A Kornilova, L Bernardi
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
22021
Machine Learning in production: the Booking.com approach
L Bernardi
https://booking.ai/https-booking-ai-machine-learning-production-3ee8fe943c70, 2019
22019
Don’t be tricked by the Hashing Trick
L Bernardi
https://booking.ai/dont-be-tricked-by-the-hashing-trick-192a6aae3087, 2018
22018
Simulations in Recommender Systems: An industry perspective
L Bernardi, S Batra, CA Bruscantini
arXiv preprint arXiv:2109.06723, 2021
12021
Machine learning for fraud detection in e-Commerce: A research agenda
N Tax, KJ Vries, M Jong, N Dosoula, B Akker, J Smith, O Thuong, ...
International Workshop on Deployable Machine Learning for Security Defense …, 2021
12021
Scalable User Interface Optimization Using Combinatorial Bandits
I Kangas, M Schwoerer, L Bernardi
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
2022
Machine Learning for Fraud Detection in E-Commerce: A Research Agenda
B van den Akker, J Smith, O Thuong, L Bernardi
Deployable Machine Learning for Security Defense: Second International …, 2021
2021
Learning to Match
T Mavridis, P Estevez, L Bernardi
arXiv preprint arXiv:1802.03102, 2018
2018
k-Nearest Neighbours: From slow to fast thanks to maths
L Bernardi
https://booking.ai/k-nearest-neighbours-from-slow-to-fast-thanks-to-maths …, 2017
2017
Random Projections Design
L Bernardi
https://researchdespegar.wordpress.com/2014/04/24/random-projections-design/, 2014
2014
Capturing Meaning with Random Projections
L Bernardi
https://researchdespegar.wordpress.com/2013/10/10/capturing-meaning-with …, 2013
2013
I Know What You Did Next Summer: Challenges in Travel Destination Recommendation
D GOLDENBERG, S MIZRACHI, A HOROWITZ, PK FERRETTI, ...
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